{"id":"W4238932675","doi":"10.1515/iupac.79.1234","title":"Epigastric","year":2016,"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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Linguistics; Biology; Organic chemistry","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":[0.0009818213,0.00162424,0.001412533,0.002709705,0.0005878219,0.00216985,0.002196333,0.001554197,0.1327656],"category_scores_gemma":[0.008442106,0.0004387278,0.001632456,0.003821397,0.0002684409,0.001587685,0.002126526,0.001255804,0.1272687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068934,"about_ca_system_score_gemma":0.002198451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408814,"about_ca_topic_score_gemma":0.03106094,"domain_scores_codex":[0.9990735,0.0001877301,0.0001470767,0.0003140091,0.0001585838,0.0001190141],"domain_scores_gemma":[0.9977862,0.0006248116,0.0002776752,0.0005058301,0.0005929362,0.0002125784],"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":[0.0003313187,0.00002833099,0.002000928,0.002010835,0.00007929552,0.00003785856,0.00002500401,0.0002520828,0.0001249447,0.0004843735,0.9825882,0.012037],"study_design_scores_gemma":[0.0003705385,0.00005058031,0.007452571,0.001124205,0.0001120263,0.0001479088,0.00009070673,0.0004103467,0.0003044396,0.001798457,0.9881023,0.0000359963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001994089,0.0002463658,0.00009277267,0.00009185787,0.00003792181,0.00003144213,0.9973353,0.0003326473,0.001632364],"genre_scores_gemma":[0.0007226915,0.0002352649,0.0003718292,0.0001788046,0.00001884838,0.000180267,0.9966831,0.00005991477,0.001549231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8672344,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00876537786711722,"score_gpt":0.4192939878753793,"score_spread":0.4105286100082621,"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."}}