{"id":"W4235296923","doi":"10.1515/iupac.88.1354","title":"Spermatogonial Chromosome Aberration Test","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); Test (biology); Biology; Computer science; Linguistics; Data mining; Philosophy; Ecology","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":[0.001342804,0.0009499757,0.001376335,0.003034599,0.0005509466,0.001606837,0.002042469,0.001138228,0.04561182],"category_scores_gemma":[0.01053425,0.0004168572,0.001209294,0.003863585,0.0003677311,0.001083635,0.001481657,0.001603691,0.02370605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182009,"about_ca_system_score_gemma":0.001946498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154316,"about_ca_topic_score_gemma":0.02266953,"domain_scores_codex":[0.9988815,0.000154468,0.0003324394,0.0003176946,0.00021891,0.00009502113],"domain_scores_gemma":[0.9956669,0.001249373,0.0008395224,0.0008167328,0.001234296,0.0001932375],"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":[0.0005000134,0.00004698958,0.01534993,0.005139323,0.0002175829,0.0001096093,0.00004385352,0.0005668645,0.0002998998,0.0009331935,0.9540659,0.0227268],"study_design_scores_gemma":[0.0007781408,0.0000830514,0.05822445,0.003288957,0.0002808644,0.0005156088,0.000133625,0.000725664,0.0009756917,0.002577484,0.9323316,0.0000848161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000593188,0.0004289281,0.0002113734,0.0001041885,0.00003819275,0.00008187044,0.996802,0.0001662608,0.001573993],"genre_scores_gemma":[0.002811996,0.0005379732,0.0007577292,0.0002232488,0.00002456574,0.0004524841,0.9933969,0.00005012501,0.001745012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04561182,"threshold_uncertainty_score":0.1525868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795843557582683,"score_gpt":0.397561330756425,"score_spread":0.3796028951805981,"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."}}