{"id":"W4247761778","doi":"10.1515/iupac.88.1305","title":"Salpingectomy","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":[0.001042699,0.0007954426,0.001192536,0.002109383,0.0004699879,0.001381477,0.0009833468,0.0008687178,0.08724694],"category_scores_gemma":[0.006993632,0.0003603199,0.00233154,0.003060233,0.0003006321,0.001150357,0.001052331,0.001368679,0.03354862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009378358,"about_ca_system_score_gemma":0.001832236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005759908,"about_ca_topic_score_gemma":0.01180951,"domain_scores_codex":[0.9988869,0.0001883883,0.0003475167,0.0002911616,0.0001836396,0.0001025397],"domain_scores_gemma":[0.9972194,0.001050364,0.0005665278,0.0006931328,0.0003393248,0.0001311496],"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":[0.002090099,0.00009206761,0.01074885,0.01044419,0.000783216,0.0004300072,0.0000586215,0.0006961527,0.0005233599,0.002030135,0.8582358,0.1138675],"study_design_scores_gemma":[0.001007283,0.0001816915,0.0347288,0.005541065,0.0004352012,0.001722245,0.0001549127,0.0003722952,0.0005798686,0.006022208,0.949176,0.0000784181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002449896,0.004461714,0.001036194,0.0004470409,0.0002945933,0.0002971574,0.9779345,0.0003684517,0.01271047],"genre_scores_gemma":[0.008643646,0.005889964,0.002568228,0.001515653,0.0001996901,0.0008808337,0.9722935,0.0002075834,0.007800826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08724694,"threshold_uncertainty_score":0.2918701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225012277219677,"score_gpt":0.4616697927519353,"score_spread":0.4494196699797385,"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."}}