{"id":"W4244552311","doi":"10.1515/iupac.88.1309","title":"Scrotum","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":[0.000416443,0.0004177391,0.0005151927,0.00004099369,0.0003178872,0.0001377164,0.001092265,0.0002473542,0.01231406],"category_scores_gemma":[0.000881802,0.000325296,0.0001973633,0.00006210322,0.0004192018,0.0001199952,0.0007894059,0.000610231,0.00007854404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089277,"about_ca_system_score_gemma":0.00007709015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477393,"about_ca_topic_score_gemma":0.001195656,"domain_scores_codex":[0.9975034,0.00004195233,0.000311081,0.0006129722,0.001012185,0.0005184021],"domain_scores_gemma":[0.9979546,0.00006972952,0.0003349227,0.001390022,0.00003490517,0.0002158323],"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":[0.00002570606,0.0001567147,0.000126057,0.00005446596,0.00002562031,0.0001243924,0.000003333737,0.000007888309,0.00007328152,3.98071e-7,0.997376,0.00202614],"study_design_scores_gemma":[0.0003963267,0.00009255988,0.0002699253,0.0001521215,0.00007391575,0.00001810069,0.000003924055,0.000008101139,0.0001000712,0.00008907983,0.9983665,0.0004293893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001594093,0.0001825872,0.000003667936,0.000339437,0.0005159009,0.00024906,0.9962258,0.00005324607,0.0008361749],"genre_scores_gemma":[0.00008841752,0.0003280053,0.000101731,0.000233858,0.0005102513,0.00001216366,0.9973194,0.00003344233,0.001372726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01223552,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208296400922746,"score_gpt":0.4606980946176998,"score_spread":0.4486151306084724,"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."}}