{"id":"W2142244712","doi":"10.1016/j.theriogenology.2008.07.015","title":"Identifying useable semen","year":2008,"lang":"en","type":"article","venue":"Theriogenology","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre; University of Alberta","funders":"","keywords":"Semen; Medicine; Andrology","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":[0.002172053,0.0006110831,0.0004812195,0.004643346,0.0008573519,0.00193781,0.001292534,0.0007202142,0.00853222],"category_scores_gemma":[0.006637522,0.0001921883,0.0005565881,0.002351224,0.0006231353,0.001398516,0.001200386,0.0004566468,0.001792936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005146244,"about_ca_system_score_gemma":0.001012926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003575755,"about_ca_topic_score_gemma":0.004605048,"domain_scores_codex":[0.9980963,0.0003691563,0.0002807335,0.0003022178,0.0007073003,0.0002442766],"domain_scores_gemma":[0.996965,0.0009995857,0.0007951949,0.0003931425,0.000713257,0.0001338152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008311136,0.0003003707,0.7491614,0.0008759318,0.0001483462,0.004664909,0.002312276,0.0003931449,0.02187642,0.002027104,0.002889525,0.2145193],"study_design_scores_gemma":[0.0000432607,0.001309456,0.8000583,0.001274403,0.0005655611,0.02597813,0.01091995,0.004576275,0.07658254,0.002379741,0.07618307,0.0001293066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495238,0.006483345,0.01119795,0.0006151499,0.0001680278,0.0007944503,0.004215817,0.0002515782,0.02674985],"genre_scores_gemma":[0.9682047,0.003419033,0.01181754,0.0003501103,0.0000681824,0.0002150878,0.002353752,0.00007493437,0.0134966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00853222,"threshold_uncertainty_score":0.02854311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0597251553569866,"score_gpt":0.2773621069176665,"score_spread":0.2176369515606799,"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."}}