{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004414912,0.0004389877,0.0005344499,0.00004803395,0.0002924828,0.0001294214,0.001129885,0.0002724153,0.009177373],"category_scores_gemma":[0.00102105,0.000341522,0.0001792935,0.00007310785,0.0003728244,0.0001299466,0.000771623,0.00068781,0.00006545834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573238,"about_ca_system_score_gemma":0.00006652766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732934,"about_ca_topic_score_gemma":0.001417032,"domain_scores_codex":[0.9974895,0.000039195,0.0003303367,0.0006335133,0.0009972429,0.0005101908],"domain_scores_gemma":[0.9978613,0.00007153494,0.0003507163,0.001474371,0.00003916981,0.0002029238],"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":[0.00002476223,0.000177897,0.0001039752,0.00005367476,0.00002583374,0.0001379798,0.000003505685,0.000007946192,0.0001624585,2.763723e-7,0.9967486,0.002553069],"study_design_scores_gemma":[0.0004343419,0.000102865,0.0002933213,0.0001240237,0.00008251167,0.00002301959,0.000003458134,0.000007257551,0.0001929951,0.00006473016,0.9982291,0.0004423557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003071265,0.0001911534,0.000003713071,0.0003315151,0.0004302452,0.0002385028,0.9950593,0.0000621521,0.0006121894],"genre_scores_gemma":[0.0001760086,0.0004198095,0.00009412307,0.000190717,0.0004455533,0.0000128766,0.9970962,0.0000360592,0.001528695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009111915,"threshold_uncertainty_score":0.9999037,"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."}}