{"id":"W4391432492","doi":"10.1007/978-3-031-52730-2_2","title":"Automated Sperm Analysis","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sperm; Computer science; Andrology; Medicine","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":[0.000486419,0.001258795,0.0008004832,0.002007329,0.0007992933,0.001555378,0.002197797,0.001065033,0.1294191],"category_scores_gemma":[0.0008401845,0.0008402791,0.0006020003,0.001481454,0.0004280744,0.001193629,0.001549941,0.001215693,0.09860802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005174594,"about_ca_system_score_gemma":0.0007123337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575487,"about_ca_topic_score_gemma":0.003712764,"domain_scores_codex":[0.9993867,0.00003898043,0.00001633236,0.0001332196,0.000392858,0.00003188612],"domain_scores_gemma":[0.9994819,0.0001376353,0.00001545565,0.0001159526,0.0002281091,0.00002096202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004506825,0.00004014413,0.0002789155,0.0002017924,0.00001820241,0.00006645484,0.00004767083,0.001880154,0.01829575,0.01028167,0.2101801,0.758664],"study_design_scores_gemma":[0.00001014637,0.00005171276,0.001572734,0.0001395226,0.00002829809,0.0008498331,0.00005088326,0.02585627,0.03413669,0.01577358,0.921464,0.00006639644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00291638,0.005160362,0.7044774,0.0007974285,0.001232774,0.0002975689,0.0032918,0.02321356,0.2586128],"genre_scores_gemma":[0.01425098,0.003470639,0.3367653,0.0007842768,0.0004170867,0.0002670493,0.006401987,0.002622184,0.6350205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1294191,"threshold_uncertainty_score":0.43295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470566402743983,"score_gpt":0.3076044938517103,"score_spread":0.2628988298242705,"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."}}