{"id":"W4250690535","doi":"10.1515/iupac.88.1360","title":"Sphincter","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":[0.001838246,0.001333266,0.001201318,0.003933182,0.0009618496,0.003681059,0.002154524,0.001631933,0.1951452],"category_scores_gemma":[0.01520413,0.0005743831,0.001773032,0.006288248,0.0004004774,0.003115995,0.002561602,0.00175564,0.2247624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734184,"about_ca_system_score_gemma":0.003369909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471844,"about_ca_topic_score_gemma":0.02701782,"domain_scores_codex":[0.9970247,0.0005060369,0.0006219505,0.000944701,0.0006042587,0.0002982877],"domain_scores_gemma":[0.994176,0.001437339,0.0005632339,0.001484074,0.002005384,0.000333961],"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":[0.00009349496,0.00001627295,0.001381736,0.001150264,0.0000333664,0.00002123468,0.00003148693,0.0001133285,0.0001099412,0.00112777,0.986002,0.009919106],"study_design_scores_gemma":[0.00006957133,0.00001155168,0.002346296,0.0006052604,0.00001991514,0.00004576117,0.00007039417,0.0001116869,0.0001511041,0.001179766,0.9953715,0.00001711969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001508214,0.0001774716,0.0001928289,0.0001733307,0.00008799686,0.00005055515,0.9946109,0.0003792074,0.00417697],"genre_scores_gemma":[0.0004781875,0.0001846506,0.0005530243,0.000276042,0.00002300618,0.0001921411,0.9952754,0.0001312416,0.002886259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1951452,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147901490916985,"score_gpt":0.4559916747875977,"score_spread":0.4445126598784278,"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."}}