{"id":"W4256395850","doi":"10.1515/iupac.88.0574","title":"Catecholamine","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":[0.0007143428,0.001097892,0.001081773,0.002649558,0.0004748742,0.001743111,0.001201741,0.0009845828,0.06653319],"category_scores_gemma":[0.006306491,0.0004063268,0.001283504,0.004341477,0.0002391607,0.001391164,0.001311951,0.001259058,0.0514157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007864817,"about_ca_system_score_gemma":0.001417791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059986,"about_ca_topic_score_gemma":0.01926129,"domain_scores_codex":[0.9991689,0.00012843,0.0002342543,0.0002393687,0.0001493225,0.00007967374],"domain_scores_gemma":[0.9973139,0.0008639212,0.0005333618,0.0005598727,0.000590086,0.0001388347],"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":[0.0004096101,0.00003496396,0.006759741,0.005895413,0.0001591326,0.00008467523,0.00006094044,0.0003756133,0.0004468742,0.001096177,0.9503258,0.03435098],"study_design_scores_gemma":[0.0001580727,0.00003455403,0.01690352,0.001573202,0.00009948594,0.0002127516,0.00006927292,0.0001932798,0.0003242404,0.001559565,0.9788316,0.00004037287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003744035,0.0007318311,0.0001603992,0.0001043403,0.00008082177,0.00003117821,0.9961702,0.0001631479,0.002183566],"genre_scores_gemma":[0.001658325,0.0008873914,0.000657721,0.0002230671,0.00004053928,0.0001820094,0.9945828,0.00005025909,0.001717881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06653319,"threshold_uncertainty_score":0.2225757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217837181184384,"score_gpt":0.4595929245967046,"score_spread":0.4474145527848608,"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."}}