{"id":"W4240850031","doi":"10.1515/iupac.88.1322","title":"Sex Chromatin","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":[0.001019288,0.001306133,0.001271461,0.003900151,0.001124631,0.003382033,0.002064579,0.001756665,0.1430957],"category_scores_gemma":[0.008236152,0.0006940071,0.00156632,0.006024284,0.0004532274,0.002428412,0.002487933,0.001768691,0.1139464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050433,"about_ca_system_score_gemma":0.002467079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337587,"about_ca_topic_score_gemma":0.02707537,"domain_scores_codex":[0.9988593,0.0001673066,0.0002149266,0.0003969333,0.0002146308,0.0001468466],"domain_scores_gemma":[0.9971049,0.001019035,0.0003629137,0.0007853158,0.0005476232,0.0001801499],"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":[0.0001489855,0.00001401786,0.003782645,0.002685636,0.00006538532,0.00007833879,0.00008115673,0.0002242866,0.0002902301,0.002026676,0.9743288,0.01627399],"study_design_scores_gemma":[0.00006393843,0.00001124357,0.005791232,0.0007584594,0.00003570853,0.0001348129,0.00006502012,0.00007979441,0.0001923268,0.001804943,0.9910416,0.00002102624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001769391,0.0004676997,0.0001824593,0.0001437776,0.0000746821,0.00001841568,0.9957676,0.0002576138,0.002910775],"genre_scores_gemma":[0.0008500409,0.0005971409,0.0005372083,0.0002480242,0.00002553726,0.0001090982,0.9954449,0.0001037667,0.002084316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1430957,"threshold_uncertainty_score":0.4787029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137038697656801,"score_gpt":0.449348315187976,"score_spread":0.437977928211408,"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."}}