{"id":"W4252063262","doi":"10.1515/iupac.88.1467","title":"Uterotrophic Assay","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; Data mining; Philosophy","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":[0.002359202,0.001440643,0.00161506,0.003272948,0.001035471,0.002839464,0.002796076,0.001876262,0.07057892],"category_scores_gemma":[0.0112215,0.0006587759,0.001929242,0.004698785,0.0004455403,0.001424767,0.001907543,0.0021618,0.06257592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324561,"about_ca_system_score_gemma":0.00310374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227541,"about_ca_topic_score_gemma":0.02186911,"domain_scores_codex":[0.9972159,0.00046745,0.0005891745,0.0008439214,0.0006680088,0.0002155729],"domain_scores_gemma":[0.9946936,0.001781764,0.0007803526,0.001279842,0.001252908,0.000211597],"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":[0.0006814292,0.000105253,0.007922872,0.006106696,0.0002440532,0.0001322388,0.00007952505,0.000682233,0.001514242,0.002510139,0.9514264,0.02859488],"study_design_scores_gemma":[0.0002388598,0.00005672444,0.008547623,0.0008062622,0.0001504701,0.0001477755,0.00007996529,0.0002367308,0.001447233,0.001597583,0.9866491,0.00004166736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000503787,0.000743821,0.0005065639,0.0001354921,0.00009783154,0.0001210548,0.9940393,0.0003908631,0.00346132],"genre_scores_gemma":[0.001385449,0.0007820077,0.001594483,0.0003157369,0.00003080538,0.0005771277,0.9921907,0.0001126973,0.003010994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07057892,"threshold_uncertainty_score":0.23611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266537763781358,"score_gpt":0.451096890327549,"score_spread":0.4384315126897354,"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."}}