{"id":"W2145088943","doi":"10.1039/c3lc51254a","title":"Rapid selection of sperm with high DNA integrity","year":2014,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Sperm; Semen; Population; Biology; Andrology; Selection (genetic algorithm); DNA; Genetics; Computer science; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005144623,0.0003242021,0.0003842342,0.0003770922,0.0001788417,0.0005594229,0.0003399699,0.0005381713,0.002480499],"category_scores_gemma":[0.0006059657,0.0001476362,0.000249243,0.0002291079,0.0002605397,0.0003255836,0.0004401665,0.0004633426,0.001768534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732584,"about_ca_system_score_gemma":0.0002952638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452867,"about_ca_topic_score_gemma":0.0004070885,"domain_scores_codex":[0.9996597,0.0000454788,0.0000262584,0.00009904187,0.0001409359,0.00002862636],"domain_scores_gemma":[0.9997365,0.00008389675,0.0000455444,0.00002211636,0.00008347734,0.00002850439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002810113,0.00001620748,0.0005800927,0.00008184624,0.000009211681,0.00004136436,0.00001881503,0.00008024176,0.9807118,0.000309099,0.0005121008,0.01761114],"study_design_scores_gemma":[0.00001291667,0.0003487423,0.003890288,0.0000252045,0.00002848455,0.0005024929,0.0000285518,0.001558634,0.9799146,0.0001584298,0.01351457,0.00001693705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.62111,0.02300493,0.3309147,0.002138536,0.000733289,0.0007738479,0.00286153,0.002716701,0.01574635],"genre_scores_gemma":[0.808556,0.006134425,0.1637991,0.001322834,0.0001885148,0.0004935243,0.002013073,0.0002186036,0.0172739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002480499,"threshold_uncertainty_score":0.008298099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399738109179684,"score_gpt":0.2294277755415592,"score_spread":0.2154303944497623,"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."}}