{"id":"W4247589674","doi":"10.1515/iupac.88.1123","title":"Nondisjunction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002864556,0.001587463,0.00171393,0.005174222,0.00145645,0.004417277,0.002937058,0.001907635,0.1357595],"category_scores_gemma":[0.02319914,0.0007935699,0.00287232,0.007753215,0.0009385018,0.003778035,0.003771181,0.002401782,0.106606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524661,"about_ca_system_score_gemma":0.004139663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166842,"about_ca_topic_score_gemma":0.02129271,"domain_scores_codex":[0.9946373,0.001037675,0.001391951,0.001457548,0.0009650412,0.000510506],"domain_scores_gemma":[0.98834,0.00413467,0.001368829,0.003519997,0.002233987,0.000402485],"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":[0.0002195796,0.00002801221,0.00261182,0.003655013,0.0001024933,0.00007324045,0.00006838776,0.0001803861,0.0001962878,0.001961087,0.9796097,0.01129389],"study_design_scores_gemma":[0.0001415666,0.00002029886,0.003713281,0.001407384,0.00005583345,0.0001217949,0.00009516258,0.0001322099,0.0002563455,0.001993234,0.9920328,0.00003017345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003515657,0.0005213342,0.0002850789,0.0002033537,0.0002018638,0.00007976984,0.9938355,0.0003946591,0.004126889],"genre_scores_gemma":[0.00111516,0.0003979688,0.0006956789,0.0004048185,0.00005092718,0.0003957645,0.9938269,0.0002128078,0.00289993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1357595,"threshold_uncertainty_score":0.4541606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126105217678501,"score_gpt":0.4539582941786793,"score_spread":0.4426972420018943,"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."}}