{"id":"W4234804817","doi":"10.1515/iupac.88.0796","title":"Fertility, Male","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Human reproduction; Biology; Linguistics; Genetics; 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":[0.0008783362,0.001161873,0.001199407,0.003805846,0.0006474924,0.002086995,0.001606351,0.00111137,0.1074931],"category_scores_gemma":[0.01198735,0.0004744751,0.001585094,0.005740087,0.00044961,0.002393445,0.001538571,0.001663523,0.04323355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104185,"about_ca_system_score_gemma":0.001817512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355205,"about_ca_topic_score_gemma":0.03144493,"domain_scores_codex":[0.9986094,0.000208758,0.0003875855,0.000413825,0.0002490833,0.0001313345],"domain_scores_gemma":[0.9963818,0.00125046,0.0008524767,0.000559655,0.0007955579,0.000160106],"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":[0.0001749302,0.00002039909,0.006657007,0.004724542,0.0001153022,0.00004740478,0.00006633881,0.000214309,0.00009204778,0.001284355,0.9718246,0.01477868],"study_design_scores_gemma":[0.0002649904,0.00003152481,0.02480354,0.002798603,0.0001034159,0.0002892084,0.0001664377,0.0001425045,0.0001261703,0.001976718,0.9692545,0.00004254156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002628611,0.0006456129,0.00008958337,0.0001418388,0.0000791518,0.00002983299,0.9965625,0.00008665131,0.0021019],"genre_scores_gemma":[0.00257946,0.00156286,0.0005896866,0.0005820896,0.00008470744,0.0003096466,0.9915836,0.00009058794,0.002617233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1074931,"threshold_uncertainty_score":0.3596004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04110334297571881,"score_gpt":0.4903034794591048,"score_spread":0.449200136483386,"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."}}