{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147076,0.00007377334,0.0001447753,0.00005503636,0.00002253171,0.000003873763,0.00002141265,0.00005350138,0.0003676303],"category_scores_gemma":[0.0001384522,0.00004914821,0.00002989544,0.0001487788,0.00002797946,0.00002133213,0.000004348176,0.0001605696,0.00004550311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002599281,"about_ca_system_score_gemma":0.00002569575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037339,"about_ca_topic_score_gemma":0.00003322901,"domain_scores_codex":[0.9995129,0.00002930157,0.00008821014,0.0001289214,0.0001522266,0.00008845711],"domain_scores_gemma":[0.9996587,0.00004071983,0.00004288607,0.0001401399,0.00006834119,0.0000491926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005036992,0.002129331,0.5262766,0.0005888077,0.0003799465,0.00003104394,0.0007165687,0.00003289503,0.2592249,0.06407161,0.00540016,0.1361111],"study_design_scores_gemma":[0.002683622,0.00368964,0.7995067,0.0002122961,0.0001324698,0.00009679809,0.00002984534,0.0006144104,0.1855988,0.0003953535,0.006914523,0.0001255939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875836,0.00001136424,0.0004577459,0.0003855785,0.0001223221,0.0001155849,9.86492e-7,0.00006067883,0.01126216],"genre_scores_gemma":[0.9982071,0.00000483307,0.0007333654,0.000399217,0.000214508,0.000003980104,0.0000142216,0.00001097496,0.0004117958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.27323,"threshold_uncertainty_score":0.4025294,"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."}}