{"id":"W4243568439","doi":"10.1515/iupac.88.1261","title":"Puberty","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":[0.00108955,0.001126829,0.001039696,0.003031245,0.0007610981,0.002995434,0.001890784,0.001314164,0.1945392],"category_scores_gemma":[0.009325004,0.000500588,0.001452424,0.005051828,0.0003333318,0.002504337,0.001990622,0.001517983,0.1925208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272456,"about_ca_system_score_gemma":0.002273596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145604,"about_ca_topic_score_gemma":0.02673641,"domain_scores_codex":[0.9984677,0.0002403324,0.00030558,0.0005024282,0.0003078807,0.0001760212],"domain_scores_gemma":[0.9965361,0.0008868452,0.0004328449,0.000817523,0.001088538,0.0002380589],"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":[0.0001110603,0.00001504802,0.001725075,0.001201117,0.00002872532,0.0000271641,0.00003343272,0.00009926518,0.00009390041,0.001101063,0.9840905,0.01147364],"study_design_scores_gemma":[0.0000662165,0.00001073099,0.00364479,0.0005566778,0.00001802826,0.00006029179,0.00006969993,0.00007526518,0.0001207082,0.001020013,0.9943424,0.00001510847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001779676,0.0002439528,0.0001504405,0.0001611217,0.00009530799,0.00003562207,0.9940508,0.0003138705,0.004770847],"genre_scores_gemma":[0.0007121228,0.0003268104,0.0004646927,0.0002756819,0.00003277748,0.0001258535,0.9938682,0.0001247649,0.004069109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1945392,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231604228656735,"score_gpt":0.4578662881696273,"score_spread":0.4455502458830599,"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."}}