{"id":"W4242316558","doi":"10.1515/iupac.88.0740","title":"Endocrine Disrupter","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; Computer science; Linguistics; 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":[0.001206395,0.001268861,0.00137925,0.004207625,0.0006812951,0.002378869,0.001782374,0.00131614,0.1067294],"category_scores_gemma":[0.009462471,0.0005659703,0.001613938,0.007305001,0.000305711,0.001833573,0.002063403,0.001721094,0.08006695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304913,"about_ca_system_score_gemma":0.00298867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816527,"about_ca_topic_score_gemma":0.03259207,"domain_scores_codex":[0.9984031,0.0002524219,0.0004084335,0.0004610989,0.00033368,0.0001411106],"domain_scores_gemma":[0.9960943,0.001202815,0.0006881878,0.0008044119,0.001007837,0.0002024087],"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":[0.0001557911,0.0000200516,0.003326451,0.005801332,0.0001050136,0.00005734329,0.00004897026,0.0002791118,0.000279986,0.001408098,0.9667131,0.02180466],"study_design_scores_gemma":[0.00008069679,0.00001317962,0.005429107,0.001071094,0.00006511553,0.0001023873,0.00004089327,0.00007456119,0.0001432027,0.0008948793,0.9920671,0.00001773172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001342322,0.0006049227,0.0001435436,0.0001165523,0.00004905452,0.00002734877,0.9959434,0.0001434177,0.002837576],"genre_scores_gemma":[0.0008050888,0.0009533698,0.0005881985,0.0002986667,0.00002361061,0.0001385096,0.9948237,0.00006064173,0.002308237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1067294,"threshold_uncertainty_score":0.3570455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192995803514811,"score_gpt":0.4573935251428374,"score_spread":0.4454635671076893,"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."}}