{"id":"W4252499471","doi":"10.1515/iupac.88.1456","title":"Umbilical Cord","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007430749,0.00113001,0.001199978,0.003079934,0.0007371018,0.002097744,0.00157239,0.001229939,0.1659975],"category_scores_gemma":[0.009604765,0.0004163333,0.00115843,0.005957106,0.0003168245,0.001573135,0.001648948,0.001242739,0.1158294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140245,"about_ca_system_score_gemma":0.00197305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757935,"about_ca_topic_score_gemma":0.02289276,"domain_scores_codex":[0.9986432,0.0001902538,0.0003413299,0.0004199575,0.0002583782,0.0001469047],"domain_scores_gemma":[0.996734,0.0009069244,0.0005304886,0.0007162057,0.0009246893,0.0001876348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004659945,0.00003151374,0.005727651,0.002502632,0.00008444619,0.0001762408,0.0000495395,0.0002136863,0.0001950284,0.001400799,0.9504817,0.03867088],"study_design_scores_gemma":[0.0001581697,0.00003469359,0.01170023,0.001738797,0.00006596595,0.0005036856,0.0001441123,0.0001573991,0.0002902223,0.002093629,0.9830831,0.00002990024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000728419,0.001066135,0.0003266419,0.000227116,0.0001255335,0.00008415774,0.9875164,0.0003059584,0.009619607],"genre_scores_gemma":[0.00269862,0.001200988,0.0007619767,0.0005071514,0.00005892383,0.0002644646,0.9873487,0.0001003466,0.007058863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1659975,"threshold_uncertainty_score":0.5553169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448667984996867,"score_gpt":0.4732996310088298,"score_spread":0.4588129511588611,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}