{"id":"W4253580244","doi":"10.1515/iupac.88.1373","title":"Steroid","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001316274,0.001162749,0.001099852,0.003247192,0.0007764106,0.002945084,0.001903777,0.001265401,0.1694831],"category_scores_gemma":[0.01088822,0.0005442706,0.001578501,0.005685112,0.0003651907,0.002287563,0.002222761,0.001488227,0.1972599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428879,"about_ca_system_score_gemma":0.002592504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515133,"about_ca_topic_score_gemma":0.02660486,"domain_scores_codex":[0.9979408,0.0003759865,0.0004162458,0.0006430418,0.0004272016,0.0001966319],"domain_scores_gemma":[0.9957171,0.001056576,0.0004692838,0.001124195,0.00136269,0.0002700977],"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":[0.00009886248,0.0000150759,0.001452925,0.001253997,0.00004038431,0.00002317055,0.00003087049,0.0001316033,0.0001348294,0.001013758,0.9854575,0.01034705],"study_design_scores_gemma":[0.00007619799,0.00001100363,0.00278401,0.0004756876,0.00002064564,0.00004731422,0.00005433688,0.00009681203,0.0001431899,0.0009890288,0.9952852,0.00001649265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000135889,0.0002027871,0.0001599383,0.0001369582,0.00007068854,0.00003276275,0.9956486,0.0003165685,0.0032957],"genre_scores_gemma":[0.0005056157,0.0002100304,0.0003921756,0.0002157055,0.00002137243,0.0001270562,0.9960915,0.00009821833,0.002338258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305169,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241889253530909,"score_gpt":0.4582448895210667,"score_spread":0.4458259969857576,"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."}}