{"id":"W4249138358","doi":"10.1515/iupac.88.1460","title":"Undescended Testis","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":[0.0007890603,0.0007480683,0.00114989,0.002834727,0.0005387263,0.001387031,0.001276548,0.0007764628,0.07286576],"category_scores_gemma":[0.007153192,0.0003691794,0.00137606,0.003711861,0.000370692,0.001237834,0.001352299,0.001081533,0.02697176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006851002,"about_ca_system_score_gemma":0.001647336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009511832,"about_ca_topic_score_gemma":0.02177435,"domain_scores_codex":[0.9992521,0.0001077687,0.0002089792,0.0002001644,0.0001527479,0.00007827967],"domain_scores_gemma":[0.997075,0.0009572215,0.0005664403,0.0007332604,0.0005184619,0.000149603],"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":[0.0003544704,0.00001971919,0.009053406,0.005297423,0.0001984702,0.0002098582,0.00004528039,0.0004008609,0.0002154054,0.001420372,0.9514819,0.03130288],"study_design_scores_gemma":[0.0004154793,0.00004425781,0.02954086,0.0052632,0.0002016238,0.001409494,0.000139358,0.0003308395,0.0003918496,0.003486762,0.9587235,0.00005276205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007676081,0.001152204,0.0003064722,0.0001457886,0.00008814723,0.00008645525,0.9937806,0.0001558479,0.003516851],"genre_scores_gemma":[0.003312238,0.001401594,0.0007967203,0.0003737534,0.00004742334,0.000265282,0.9915172,0.0000635169,0.002222269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07286576,"threshold_uncertainty_score":0.2437602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502594492744409,"score_gpt":0.4567960350982669,"score_spread":0.4417700901708229,"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."}}