{"id":"W4384126767","doi":"10.1039/d3an00564j","title":"High-throughput sperm DNA analysis at the single-cell and population levels","year":2023,"lang":"en","type":"article","venue":"The Analyst","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"Australian Research Council; Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sperm; Population; Chromatin; DNA; Sperm quality; Throughput; Andrology; Sperm cell; Chemistry; Biology; Molecular biology; Computational biology; Genetics; Computer science; Medicine; Telecommunications","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":[0.0003449157,0.0001034146,0.0002196454,0.000144768,0.0002498601,0.00003052234,0.00006069748,0.0000448611,0.0003599041],"category_scores_gemma":[0.00006870096,0.00005300037,0.0001458569,0.001437442,0.00006472099,0.00004074215,0.00006210198,0.00008280006,0.000222358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006044512,"about_ca_system_score_gemma":0.000009106628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007721817,"about_ca_topic_score_gemma":0.0005054862,"domain_scores_codex":[0.9991485,0.00006369495,0.0001765356,0.000202929,0.0002519086,0.0001564713],"domain_scores_gemma":[0.9992481,0.0001431928,0.00007630627,0.0004394215,0.00004535583,0.00004765922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002263653,0.0002380147,0.8479831,0.00009682785,0.004131447,0.0001188752,0.001870771,0.004314396,0.1150766,0.001308286,0.01290759,0.0117277],"study_design_scores_gemma":[0.0004602894,0.00007002013,0.9844837,0.00001013088,0.004754254,0.00002046106,0.0002413975,0.004486671,0.003118506,0.0002950265,0.00196428,0.00009524734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957069,0.0002050078,0.0002792461,0.002606396,0.00008764253,0.0001345093,0.000007987883,0.00007780228,0.0008945206],"genre_scores_gemma":[0.9939718,0.00002610673,0.00004051992,0.000429875,0.0002046572,0.000004764788,0.0001789283,0.00001248085,0.005130826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365006,"threshold_uncertainty_score":0.3940698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688109914188768,"score_gpt":0.2631836428564446,"score_spread":0.2263025437145569,"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."}}