{"id":"W3163193946","doi":"10.1039/d0lc01182g","title":"Selection of high-quality sperm with thousands of parallel channels","year":2021,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Ottawa Fertility Centre; University of Toronto; Toronto Public Health","funders":"Australian Research Council; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sperm; Selection (genetic algorithm); Sperm quality; Yield (engineering); Quality (philosophy); Biology; Computer science; Computational biology; Artificial intelligence; Genetics; Materials science; Physics","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":[0.0003788133,0.0003623577,0.0004535924,0.0003631425,0.0003485478,0.0006041871,0.000629338,0.0005292595,0.003360476],"category_scores_gemma":[0.0005648354,0.0002736948,0.0003513329,0.0002851042,0.0003432259,0.0005170711,0.0006329637,0.0004780504,0.002150566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650258,"about_ca_system_score_gemma":0.0004579592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002144804,"about_ca_topic_score_gemma":0.0006882331,"domain_scores_codex":[0.9996711,0.00003381396,0.00002342631,0.0001072593,0.0001312923,0.00003308173],"domain_scores_gemma":[0.9996088,0.0001352811,0.00006394518,0.00005002246,0.00009610301,0.00004587217],"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":[0.0000760771,0.00008767082,0.001743639,0.0001926516,0.00002731136,0.0001346713,0.00005066522,0.0007363504,0.9514202,0.001458695,0.002197084,0.04187495],"study_design_scores_gemma":[0.00007260685,0.0006653075,0.006214882,0.00004280427,0.00005655572,0.0008250256,0.00007567449,0.01445245,0.9434296,0.0008704605,0.03323319,0.00006135061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4944127,0.004926363,0.4745833,0.001335446,0.0006207039,0.0005690709,0.002008279,0.004372136,0.01717208],"genre_scores_gemma":[0.6822254,0.00201067,0.2996272,0.0009141428,0.0001872829,0.0005875765,0.001453661,0.0003523384,0.01264175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003360476,"threshold_uncertainty_score":0.01124191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385245824315024,"score_gpt":0.2774784387035736,"score_spread":0.2536259804604234,"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."}}