{"id":"W4232815691","doi":"10.1515/iupac.88.0860","title":"Glans Clitoridis","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; Prioritization; Relation (database); Computer science; Management science; Linguistics; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002338282,0.001390901,0.001633913,0.006976892,0.000956319,0.004982433,0.002278414,0.001786229,0.3221858],"category_scores_gemma":[0.01960323,0.0006267091,0.001246552,0.008370125,0.0005470886,0.003435994,0.004023687,0.00193682,0.3004477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189664,"about_ca_system_score_gemma":0.003537629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008202172,"about_ca_topic_score_gemma":0.01252445,"domain_scores_codex":[0.9973315,0.0006839581,0.0004993433,0.0006898799,0.000569645,0.0002257101],"domain_scores_gemma":[0.9940683,0.002507778,0.0007260176,0.001195553,0.001148795,0.0003535658],"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":[0.000101098,0.00001243219,0.0007660789,0.001828528,0.00003495404,0.00004022993,0.00004846902,0.0001706159,0.0001177825,0.001659922,0.9794078,0.0158122],"study_design_scores_gemma":[0.0000515539,0.000007306237,0.0007876151,0.0009168555,0.00001774098,0.00005249886,0.00005263702,0.0001582735,0.0001005236,0.001613967,0.9962269,0.00001412926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002985431,0.001030971,0.0004991291,0.0007873921,0.0002550447,0.00005843934,0.984721,0.001643237,0.0107063],"genre_scores_gemma":[0.001466874,0.00144935,0.001560573,0.0009108288,0.00009893343,0.0003221972,0.9849061,0.0007509169,0.008534204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3221858,"threshold_uncertainty_score":0.9668196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186388898604482,"score_gpt":0.4645324326242665,"score_spread":0.4526685436382216,"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."}}