{"id":"W4245379406","doi":"10.1515/iupac.88.1343","title":"Somatotropin","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":[0.0009380526,0.001392094,0.001112569,0.003052691,0.0006100499,0.002238079,0.001360831,0.001093384,0.08817121],"category_scores_gemma":[0.006051439,0.0005206341,0.00166309,0.004949587,0.0003309642,0.001492583,0.001622352,0.001505026,0.07207705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168154,"about_ca_system_score_gemma":0.001907263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01487503,"about_ca_topic_score_gemma":0.02846899,"domain_scores_codex":[0.9988341,0.0001853482,0.0003148612,0.0003260935,0.0002236707,0.0001161048],"domain_scores_gemma":[0.9975667,0.0007848653,0.0004522288,0.0004908546,0.0005671817,0.0001382028],"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":[0.0007353155,0.00004303014,0.008175028,0.005277893,0.0001696212,0.000114072,0.00008124702,0.0005312884,0.0006227328,0.001304115,0.9398487,0.043097],"study_design_scores_gemma":[0.0002248,0.000037998,0.01449679,0.001264216,0.00009553425,0.0002439038,0.00009856158,0.0002283954,0.0003671546,0.001689466,0.9812136,0.00003966382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005129584,0.0009785848,0.0002246296,0.0001607111,0.00009065253,0.00004654055,0.9942533,0.0002570285,0.003475561],"genre_scores_gemma":[0.001805012,0.001028488,0.0009366162,0.0003117163,0.00003908361,0.0001836408,0.9932761,0.00007719,0.002342229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08817121,"threshold_uncertainty_score":0.2949621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133843646498215,"score_gpt":0.4559800749826565,"score_spread":0.4446416385176744,"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."}}