{"id":"W4307396385","doi":"10.1016/j.fertnstert.2022.08.828","title":"IDENTIFYING VIABILITY OF IMMOTILE SPERM AT ONE GLANCE: SPERM VIABILITY CLASSIFIER POWERED BY DEEP LEARNING","year":2022,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sperm; Andrology; Biology; Classifier (UML); Artificial intelligence; Computer science; 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":[0.0003675027,0.0004359299,0.0003657989,0.0005407863,0.0001612409,0.0004799805,0.0005793905,0.0007461018,0.001127955],"category_scores_gemma":[0.0008524242,0.0001741807,0.0002942757,0.0002445343,0.0001441158,0.0004858491,0.0005261415,0.0007476396,0.0004527108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301661,"about_ca_system_score_gemma":0.0003751003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002645716,"about_ca_topic_score_gemma":0.005357695,"domain_scores_codex":[0.9999143,0.00001226787,0.000003529415,0.00002191088,0.00002221339,0.0000257894],"domain_scores_gemma":[0.9997515,0.00008641407,0.00002935571,0.00001748317,0.00008330808,0.00003191447],"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":[0.0008720505,0.0006500017,0.08314858,0.0001953872,0.0001882573,0.0007658679,0.0001076901,0.08259766,0.06319282,0.001621525,0.01403605,0.7526241],"study_design_scores_gemma":[0.00001936926,0.0001738245,0.01554653,0.00003798982,0.00005982316,0.0002860953,0.00007141598,0.9635513,0.01634675,0.002172749,0.001711105,0.00002299718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630489,0.003277006,0.2229367,0.001669585,0.0002462567,0.00007544452,0.001267514,0.002028199,0.005450428],"genre_scores_gemma":[0.9632308,0.0004328105,0.03091905,0.0003465285,0.00006623958,0.0000269814,0.0009455865,0.00005625981,0.003975741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002645716,"threshold_uncertainty_score":0.005260646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491481662499085,"score_gpt":0.2551458658435589,"score_spread":0.230231049218568,"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."}}