{"id":"W4247824739","doi":"10.1515/iupac.88.1349","title":"Sperm Banking","year":2017,"lang":"en","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; 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":[0.001740113,0.001537326,0.001596903,0.003992965,0.0009003004,0.002845416,0.002717874,0.002204713,0.0976766],"category_scores_gemma":[0.01321757,0.0006151968,0.001691617,0.006114998,0.0004075125,0.001907396,0.002203606,0.001883028,0.09149667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348864,"about_ca_system_score_gemma":0.003446713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308818,"about_ca_topic_score_gemma":0.02317993,"domain_scores_codex":[0.9982597,0.0002536622,0.0004667197,0.0004853587,0.0003622302,0.0001723194],"domain_scores_gemma":[0.9948449,0.001494422,0.0007925753,0.001081152,0.001528482,0.0002585409],"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":[0.0003140233,0.00003086157,0.003170368,0.004330411,0.0001021849,0.00006972206,0.0000359234,0.0003177125,0.0002136812,0.001149842,0.9721249,0.01814038],"study_design_scores_gemma":[0.0003262674,0.00002604076,0.006469958,0.001970143,0.00007806238,0.0001669696,0.00006199956,0.0002335238,0.0004474304,0.00170708,0.9884758,0.00003669483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002036726,0.0003821248,0.000175484,0.0001094054,0.00004993888,0.00005431557,0.9969217,0.0003204211,0.001782902],"genre_scores_gemma":[0.000659161,0.0004113787,0.0006710166,0.0002305016,0.00001890308,0.0002374323,0.9961079,0.0000740822,0.001589617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9023234,"threshold_uncertainty_score":0.3267608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233829149393449,"score_gpt":0.4222206017300973,"score_spread":0.3988376867907524,"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."}}