{"id":"W4241605948","doi":"10.1515/iupac.88.1358","title":"Spermiogenesis","year":2017,"lang":"fi","type":"dataset","venue":"IUPAC Standards Online","topic":"Sperm and Testicular Function","field":"Medicine","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":[0.001587936,0.001806695,0.00167938,0.005205082,0.001018999,0.003103439,0.002658541,0.002068759,0.07949117],"category_scores_gemma":[0.01133409,0.0007311615,0.002140002,0.007641693,0.0004712539,0.001751168,0.002266796,0.002195593,0.08191964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479141,"about_ca_system_score_gemma":0.003460606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549554,"about_ca_topic_score_gemma":0.02805852,"domain_scores_codex":[0.9983169,0.0002216874,0.0004276463,0.000472732,0.0003723398,0.0001887527],"domain_scores_gemma":[0.9951047,0.001589253,0.0008288161,0.001053932,0.001137599,0.0002857355],"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":[0.0002162813,0.00002369307,0.004063578,0.00584047,0.0001102327,0.00006268638,0.00005625808,0.0003482794,0.0003155529,0.0009424494,0.9738008,0.01421968],"study_design_scores_gemma":[0.0001905577,0.00002536582,0.01016557,0.001912887,0.0000809409,0.0001537766,0.00005803256,0.0001785246,0.0004484304,0.001188065,0.9855569,0.00004087293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001290786,0.0003076415,0.00009241997,0.00006030739,0.000033843,0.00002225253,0.9980916,0.0002230519,0.001039789],"genre_scores_gemma":[0.0004829068,0.0003276998,0.0004347169,0.0001216013,0.00001219156,0.0001504764,0.9975799,0.00005879818,0.0008316622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07949117,"threshold_uncertainty_score":0.2659245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574354089510219,"score_gpt":0.4208357687184245,"score_spread":0.3950922278233224,"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."}}