{"id":"W4396837719","doi":"10.1016/b978-0-443-21477-6.00100-0","title":"CASA—Computer-Aided Sperm Analysis","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sperm; Computer-aided; Computer science; Andrology; Medicine; Programming language","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":[0.0003672988,0.001113863,0.0008014155,0.001791715,0.0004597564,0.002131031,0.001481708,0.0009689453,0.1751231],"category_scores_gemma":[0.0008659719,0.000518386,0.0005274339,0.00157167,0.0003620266,0.001010366,0.0009199761,0.001316653,0.08127556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577952,"about_ca_system_score_gemma":0.0007696848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987708,"about_ca_topic_score_gemma":0.003556047,"domain_scores_codex":[0.9997122,0.00001896395,0.00001389409,0.00004684233,0.0001950019,0.0000130664],"domain_scores_gemma":[0.9996747,0.0001481082,0.00001037979,0.00003375754,0.0001127051,0.0000204255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005764449,0.00002751328,0.0002385791,0.0003363682,0.00001807637,0.0001401032,0.00003812784,0.001328404,0.008240672,0.009377426,0.266856,0.7133409],"study_design_scores_gemma":[0.00001247151,0.00003461663,0.0009412513,0.0001830668,0.00001708542,0.001634496,0.00003700166,0.01135453,0.007210922,0.0059384,0.9725982,0.00003797642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003283051,0.03534279,0.4661802,0.001301531,0.003528363,0.0003257022,0.004654467,0.03214552,0.4532384],"genre_scores_gemma":[0.0140232,0.01848633,0.2538933,0.00106655,0.0006241777,0.00029024,0.005805724,0.005143601,0.7006668],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1751231,"threshold_uncertainty_score":0.5858452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604007943593274,"score_gpt":0.2482904963941746,"score_spread":0.2322504169582419,"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."}}