{"id":"https://openalex.org/W7203485110","doi":"https://doi.org/10.17605/osf.io/ztm8a","title":"Code","display_name":"Code","publication_year":2026,"publication_date":"2026-07-29","ids":{"openalex":"https://openalex.org/W7203485110","doi":"https://doi.org/10.17605/osf.io/ztm8a"},"language":"en","primary_location":{"id":"doi:10.17605/osf.io/ztm8a","doi":"https://doi.org/10.17605/osf.io/ztm8a","is_oa":true,"landing_page_url":"https://doi.org/10.17605/osf.io/ztm8a","pdf_url":null,"source":{"id":"https://openalex.org/S7407050956","display_name":"Open Science Framework","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17605/osf.io/ztm8a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084597530","display_name":"Martha G. Alatriste\u2010Contreras","orcid":"https://orcid.org/0000-0001-5549-4747","observed_orcids":["https://orcid.org/0000-0001-5549-4747"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martha G. Alatriste-Contreras","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5549-4747","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050518022","display_name":"Nancy Ivonne Muller Dur\u00e1n","orcid":"https://orcid.org/0000-0002-6764-5925","observed_orcids":["https://orcid.org/0000-0002-6764-5925"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nancy I Muller Duran","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58249585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.30570000410079956,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.30570000410079956,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.09440000355243683,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.05730000138282776,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gradient-boosting-regression","display_name":"gradient boosting regression","score":0.8080000281333923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.492000013589859},{"id":"https://openalex.org/keywords/python-source-code","display_name":"Python code","score":0.5360000133514404},{"id":"https://openalex.org/keywords/scikit-learn","display_name":"scikit-learn","score":0.8759999871253967},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"exploratory data analysis","score":0.8510000109672546}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.789900004863739},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.7750999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727400004863739},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4325999915599823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36640000343322754},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C56288433","wikidata":"https://www.wikidata.org/wiki/Q58673","display_name":"Data manipulation language","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25870001316070557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17605/osf.io/ztm8a","doi":"https://doi.org/10.17605/osf.io/ztm8a","is_oa":true,"landing_page_url":"https://doi.org/10.17605/osf.io/ztm8a","pdf_url":null,"source":{"id":"https://openalex.org/S7407050956","display_name":"Open Science Framework","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.17605/osf.io/ztm8a","doi":"https://doi.org/10.17605/osf.io/ztm8a","is_oa":true,"landing_page_url":"https://doi.org/10.17605/osf.io/ztm8a","pdf_url":null,"source":{"id":"https://openalex.org/S7407050956","display_name":"Open Science Framework","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W6884985898","https://openalex.org/W4250024550","https://openalex.org/W3158035935","https://openalex.org/W3108235655","https://openalex.org/W2920926775","https://openalex.org/W3186292250","https://openalex.org/W3214389058","https://openalex.org/W6884983194","https://openalex.org/W6941236635","https://openalex.org/W2106662538"],"abstract_inverted_index":{"We":[0],"use":[1],"the":[2,18,23,26,33],"Python":[3,42],"3":[4,43],"language":[5],"and":[6,15,22],"its":[7],"third":[8],"party":[9],"libraries":[10],"that":[11],"include":[12],"numpy,":[13],"scipy,":[14],"scikit-learn":[16,40],"for":[17,32],"exploratory":[19],"data":[20],"analysis":[21],"application":[24],"of":[25],"machine":[27],"learning":[28],"algorithm.":[29],"All":[30],"scenarios":[31],"gradient":[34],"boosting":[35],"regressor":[36],"were":[37],"executed":[38],"using":[39],"1.90":[41],"library.":[44]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-15T00:00:00"}
