{"id":"https://openalex.org/W7225465545","doi":"https://doi.org/10.6084/m9.figshare.34943098","title":"Closed Measurement, Open Interpretation: A Four-Layer Behaviour-Classification Architecture and a Grounded Subconscious Reasoner for Companion-Animal Perception from Consumer Video","display_name":"Closed Measurement, Open Interpretation: A Four-Layer Behaviour-Classification Architecture and a Grounded Subconscious Reasoner for Companion-Animal Perception from Consumer Video","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225465545","doi":"https://doi.org/10.6084/m9.figshare.34943098"},"language":"en","primary_location":{"id":"doi:10.6084/m9.figshare.34943098","doi":"https://doi.org/10.6084/m9.figshare.34943098","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34943098","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.34943098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161179179","display_name":"Yusuf Ghairat","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yusuf Ghairat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5161179179"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.1462000012397766,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.1462000012397766,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.1420000046491623,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.1143999993801117,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/companion-animals","display_name":"companion animals","score":0.7519999742507935},{"id":"https://openalex.org/keywords/behavior-classification","display_name":"behavior classification","score":0.6489999890327454},{"id":"https://openalex.org/keywords/open-interpretation","display_name":"open interpretation","score":0.7990000247955322},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"abductive reasoning","score":0.414000004529953},{"id":"https://openalex.org/keywords/markerless-pose-estimation","display_name":"markerless pose estimation","score":0.6110000014305115},{"id":"https://openalex.org/keywords/facial-landmark-detection","display_name":"facial landmark detection","score":0.8159999847412109},{"id":"https://openalex.org/keywords/pain-assessment","display_name":"pain assessment","score":0.7269999980926514},{"id":"https://openalex.org/keywords/glasgow-composite-measure-pain-scale","display_name":"Glasgow Composite Measure Pain Scale","score":0.9629999995231628},{"id":"https://openalex.org/keywords/welfare-analysis","display_name":"welfare analysis","score":0.5090000033378601},{"id":"https://openalex.org/keywords/failure-mode-classification","display_name":"failure mode classification","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C96851999","wikidata":"https://www.wikidata.org/wiki/Q848369","display_name":"Subconscious","level":3,"score":0.5615000128746033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476999878883362},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.415800005197525},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32010000944137573},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2849000096321106},{"id":"https://openalex.org/C30795975","wikidata":"https://www.wikidata.org/wiki/Q282744","display_name":"Obsolescence","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C40422974","wikidata":"https://www.wikidata.org/wiki/Q741248","display_name":"Assertion","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2983311337","wikidata":"https://www.wikidata.org/wiki/Q34379","display_name":"Musical instrument","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.26499998569488525},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2583000063896179},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.6084/m9.figshare.34943098","doi":"https://doi.org/10.6084/m9.figshare.34943098","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34943098","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.6084/m9.figshare.34943098.v1","doi":"https://doi.org/10.6084/m9.figshare.34943098.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34943098.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.6084/m9.figshare.34943098.v2","doi":"https://doi.org/10.6084/m9.figshare.34943098.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34943098.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.34943098","doi":"https://doi.org/10.6084/m9.figshare.34943098","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34943098","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W6903861565","https://openalex.org/W4393358827","https://openalex.org/W4297841542","https://openalex.org/W103754238","https://openalex.org/W4415796717","https://openalex.org/W4241921382","https://openalex.org/W6978101849","https://openalex.org/W7132400028","https://openalex.org/W7163012570","https://openalex.org/W7095188395"],"abstract_inverted_index":{"Companion-animal":[0],"products":[1],"that":[2,32,42,56,142,360],"speak":[3],"in":[4,182,221,320,330],"the":[5,134,157,179,183,208,235,276,281,305,346,352],"animal's":[6],"voice":[7],"make":[8],"factual":[9],"claims":[10],"about":[11,362],"a":[12,39,69,76,103,117,139,147,151,163,188,199,222,245,253,264,270,324,327,340,363],"living":[13,364],"subject":[14],"every":[15,332],"few":[16],"seconds.":[17],"The":[18,241,295,315,349],"characteristic":[19],"failure":[20],"of":[21,62,80,190,258,266,345],"such":[22],"systems":[23],"is":[24,73,92,217,256,292,317],"not":[25],"measurement":[26,35,44],"error":[27],"but":[28],"fabrication:":[29],"an":[30,159],"assertion":[31],"no":[33,57],"admitted":[34,132,170],"supports.":[36],"We":[37],"present":[38],"production":[40,347],"architecture":[41],"separates":[43],"from":[45,60],"interpretation":[46,53],"by":[47,198,219,237],"construction":[48],"\u2014":[49,54,162,186,214],"closed":[50,114,197],"measurement,":[51],"open":[52],"so":[55],"path":[58,136],"exists":[59],"absence":[61],"evidence":[63,171,322],"to":[64,133,207,263,356],"assertion.":[65],"Every":[66],"two":[67],"seconds,":[68],"structured":[70],"camera":[71],"read":[72],"projected":[74],"onto":[75],"fixed,":[77],"version-controlled":[78],"vocabulary":[79],"19":[81],"channels":[82,108,243],"and":[83,102,124,129,187,269,285,291,304,339,342,351],"216":[84],"classes":[85],"with":[86,312],"explicit":[87],"abstention":[88],"classes;":[89],"out-of-vocabulary":[90],"output":[91],"discarded":[93],"at":[94,174,238],"parse":[95],"time.":[96],"A":[97,203,260],"39-keypoint":[98],"markerless":[99],"pose":[100],"engine":[101,248],"facial-landmark":[104],"channel":[105],"supply":[106],"measured":[107,242],"as":[109],"peers.":[110],"Four":[111],"layers":[112],"classify:":[113],"per-frame":[115],"measurement;":[116],"salience-gated":[118],"behaviour":[119,232],"stream;":[120],"13":[121],"composite":[122],"signatures":[123],"18":[125],"named":[126,200],"state":[127,278],"transitions;":[128],"sequence":[130],"models":[131],"user":[135],"only":[137,168],"through":[138],"provenance":[140],"gate":[141],"certifies":[143],"trained":[144],"status,":[145],"on":[146,252],"declared":[148,152],"dataset,":[149],"for":[150,178,193],"species.":[153],"Two":[154],"principles":[155],"organise":[156],"design:":[158],"admissibility":[160],"principle":[161],"claim":[164],"may":[165],"be":[166],"asserted":[167],"if":[169],"supports":[172],"it,":[173],"sufficient":[175],"confidence,":[176],"recently,":[177],"same":[180,184],"animal":[181,255],"session":[185],"taxonomy":[189,329],"fabrication":[191],"modes":[192],"percept-to-speech":[194],"systems,":[195],"each":[196],"architectural":[201],"guard.":[202],"pain":[204],"index":[205],"mapped":[206],"Glasgow":[209],"Composite":[210],"Measure":[211],"Pain":[212],"Scale":[213],"Short":[215],"Form":[216],"bias-invariant":[218],"construction:":[220],"demographic-invariance":[223,325],"probe,":[224,326],"varying":[225],"demographics":[226],"across":[227],"23":[228],"groups":[229],"while":[230],"holding":[231],"fixed":[233],"changed":[234],"score":[236],"most":[239],"0.00.":[240],"include":[244],"gated":[246],"kinematic":[247],"whose":[249],"false-locomotion":[250],"rate":[251],"seated":[254],"1.8%":[257],"frames.":[259],"Reasoner,":[261],"confined":[262],"digest":[265],"sensor-derived":[267],"facts":[268],"strictly":[271],"validated":[272],"decision":[273],"set,":[274],"maintains":[275],"system's":[277],"record":[279],"off":[280],"speech":[282],"path;":[283],"welfare":[284],"clinical":[286],"language":[287],"bypasses":[288],"it":[289],"entirely":[290],"rendered":[293],"deterministically.":[294],"first":[296],"sensor-grounded":[297],"utterance":[298],"arrives":[299],"3\u20137":[300],"s":[301],"after":[302],"connection,":[303],"transport":[306],"layer":[307],"sustains":[308],"100":[309],"concurrent":[310],"sessions":[311],"zero":[313],"failures.":[314],"validation":[316],"organised":[318],"claim-first,":[319],"three":[321],"types:":[323],"failure-mode":[328],"which":[331],"mode":[333],"carries":[334],"its":[335],"own":[336],"guard":[337,353],"check,":[338],"latency":[341],"load":[343],"characterisation":[344],"transport.":[348],"separation,":[350],"catalogue,":[354],"transfer":[355],"any":[357],"embodied":[358],"agent":[359],"speaks":[361],"subject.":[365]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}
