{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004400137,0.00005763456,0.0001205393,0.00005025584,0.00007749353,0.000002151433,0.00003281144,0.00006155934,0.001275127],"category_scores_gemma":[0.00003530531,0.00004905486,0.0000384708,0.00009042184,0.00006442967,0.00002596361,0.00001904274,0.00006695912,0.0006939459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520007,"about_ca_system_score_gemma":0.00003724078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006831189,"about_ca_topic_score_gemma":0.000004903828,"domain_scores_codex":[0.9995562,0.00001598151,0.00008320838,0.0001191184,0.00006890826,0.0001565449],"domain_scores_gemma":[0.999717,0.00001374697,0.00002129817,0.0001742848,0.000030431,0.00004326967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002687068,0.000244322,0.3868632,0.00004826699,0.0003077344,0.001326403,0.001846524,0.000008848961,0.5937169,0.002394317,0.004902713,0.008072078],"study_design_scores_gemma":[0.003743746,0.0009755097,0.8199587,0.00004070538,0.0002422603,0.01165797,0.0004058925,0.0002709295,0.05103873,0.001870551,0.1094493,0.0003457005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834445,0.000552286,0.0009424554,0.0002733139,0.0002120181,0.0001005487,5.090527e-7,0.0001126328,0.0143617],"genre_scores_gemma":[0.9949004,0.00009878378,0.0009803331,0.0004231544,0.0001363595,0.000007627474,0.0000087749,0.00001360476,0.00343093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5426782,"threshold_uncertainty_score":0.9996378,"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."}}