{"id":"https://openalex.org/W7165684388","doi":"https://doi.org/10.48550/arxiv.2606.21179","title":"Rejections Based on Predictive Uncertainty Enable Reliable Routine Soil Spectroscopy","display_name":"Rejections Based on Predictive Uncertainty Enable Reliable Routine Soil Spectroscopy","publication_year":2026,"publication_date":"2026-06-19","ids":{"openalex":"https://openalex.org/W7165684388","doi":"https://doi.org/10.48550/arxiv.2606.21179"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.21179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023086040","display_name":"Jonas Schmidinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmidinger, Jonas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010179296","display_name":"Robin Gebbers","orcid":"https://orcid.org/0000-0003-4890-9574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gebbers, Robin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039772783","display_name":"Marc\u2010Olivier Gasser","orcid":"https://orcid.org/0000-0002-5737-3428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gasser, Marc-Olivier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098909831","display_name":"Viacheslav Barkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barkov, Viacheslav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139168280","display_name":"G. Mick Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, G. Mick","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025531957","display_name":"Viacheslav I. Adamchuk","orcid":"https://orcid.org/0000-0001-7279-3597"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adamchuk, Viacheslav I.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0210999995470047,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10004","display_name":"Soil Carbon and Nitrogen Dynamics","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5849999785423279},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4302000105381012},{"id":"https://openalex.org/keywords/soil-test","display_name":"Soil test","score":0.4088999927043915},{"id":"https://openalex.org/keywords/measurement-uncertainty","display_name":"Measurement uncertainty","score":0.37139999866485596},{"id":"https://openalex.org/keywords/soil-quality","display_name":"Soil quality","score":0.35030001401901245},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.34929999709129333},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.34779998660087585},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.33320000767707825}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5849999785423279},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.531000018119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4918000102043152},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C50516716","wikidata":"https://www.wikidata.org/wiki/Q877107","display_name":"Soil test","level":3,"score":0.4088999927043915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39640000462532043},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.39430001378059387},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39340001344680786},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C2776475172","wikidata":"https://www.wikidata.org/wiki/Q2034420","display_name":"Soil quality","level":3,"score":0.35030001401901245},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3488999903202057},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.33320000767707825},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.31839999556541443},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.21179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":[{"score":0.5494130849838257,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Soil":[0],"properties":[1,61],"relevant":[2],"to":[3],"agricultural":[4],"and":[5,17,28,40,62,71,137,155],"environmental":[6],"applications":[7],"are":[8,26,92,100,112],"conventionally":[9],"measured":[10],"using":[11,95,115],"elaborate":[12],"laboratory":[13,117,148],"methods":[14,25],"involving":[15],"physical":[16],"chemical":[18],"processing.":[19],"While":[20],"highly":[21],"accurate,":[22],"these":[23],"conventional":[24,116],"costly":[27],"time-consuming.":[29],"In":[30,87],"contrast,":[31],"optical":[32,144],"spectroscopy":[33,145],"paired":[34],"with":[35,84,132],"machine":[36],"learning":[37],"enables":[38],"rapid":[39],"cost-effective":[41],"predictions":[42,99],"of":[43,143],"multiple":[44],"soil":[45,60,90,124],"properties.":[46],"However,":[47],"spectroscopic":[48],"modelling":[49,83],"is":[50],"often":[51],"considered":[52],"unreliable,":[53],"as":[54],"the":[55,141],"predictive":[56,104],"accuracy":[57,153],"varies":[58],"between":[59,69],"individual":[63],"samples.":[64],"To":[65],"balance":[66],"this":[67,88],"trade-off":[68],"cost":[70],"reliability,":[72],"we":[73,128],"introduce":[74],"reject-to-remeasure:":[75],"an":[76],"AI-based":[77],"measurement":[78,157],"framework":[79],"that":[80,130],"combines":[81],"probabilistic":[82],"uncertainty-guided":[85],"rejection.":[86],"framework,":[89],"samples":[91,111],"first":[93],"analysed":[94],"spectroscopy,":[96],"after":[97],"which":[98],"rejected":[101],"if":[102],"their":[103],"uncertainty":[105],"exceeds":[106],"predefined":[107],"quality":[108],"constraints.":[109],"Rejected":[110],"subsequently":[113],"remeasured":[114],"procedures.":[118],"On":[119],"a":[120],"regional":[121],"visible-near-infrared":[122],"spectral":[123],"library":[125],"from":[126],"Qu\u00e9bec,":[127],"demonstrate":[129],"reject-to-remeasure":[131],"modern":[133],"foundation":[134],"models":[135],"(TabPFNv2.5":[136],"TabICLv2)":[138],"can":[139],"facilitate":[140],"integration":[142],"into":[146],"routine":[147],"workflows":[149],"while":[150],"meeting":[151],"user-defined":[152],"requirements":[154],"reducing":[156],"costs.":[158]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}
