{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031541,0.0008198961,0.0007130373,0.001703161,0.0005184967,0.001038836,0.0009354553,0.0009476849,0.004861434],"category_scores_gemma":[0.001330947,0.000484056,0.0004795001,0.0007647488,0.000488256,0.0006742288,0.0008330322,0.001388533,0.002506734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277641,"about_ca_system_score_gemma":0.001049434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123142,"about_ca_topic_score_gemma":0.003462333,"domain_scores_codex":[0.9986166,0.0001602051,0.00004532856,0.0002400809,0.000873433,0.00006431008],"domain_scores_gemma":[0.9989763,0.0003746252,0.0001047997,0.00007785422,0.0003996574,0.00006678948],"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":[0.00007166395,0.00004845863,0.001020071,0.0001058813,0.00004193633,0.0000582271,0.00006630708,0.0002290344,0.9660782,0.0008336127,0.001136887,0.03030968],"study_design_scores_gemma":[0.0000366292,0.0003891118,0.01226904,0.00003815891,0.00006016617,0.0009184545,0.00008979107,0.01069827,0.95238,0.001669183,0.02136285,0.00008832601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1101901,0.00388932,0.8669277,0.0008862956,0.0002756774,0.0005506122,0.003223917,0.005739686,0.008316685],"genre_scores_gemma":[0.2600074,0.00297955,0.7096534,0.0005819814,0.0002239336,0.001034359,0.004409513,0.0006550985,0.02045478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004861434,"threshold_uncertainty_score":0.01626313,"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."}}