{"id":"W3086920551","doi":"10.1093/humrep/deaa196","title":"An age-based sperm nomogram: the McGill reference guide","year":2020,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Percentile; Nomogram; Semen; Sperm; Semen analysis; Medicine; Population; Semen quality; Sperm motility; Demography; Gynecology; Andrology; Biology; Statistics; Mathematics; Infertility; Internal medicine; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000229492,0.0001089609,0.0001288913,0.00003521693,0.0002408774,0.00001729154,0.00007417156,0.00005212529,0.0002878927],"category_scores_gemma":[0.000266659,0.00007691914,0.00005538432,0.0001980868,0.00007326096,0.00006054511,0.00001216115,0.0001924379,0.0001132935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004335317,"about_ca_system_score_gemma":0.000023766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001198284,"about_ca_topic_score_gemma":0.00001843002,"domain_scores_codex":[0.9988889,0.00005104879,0.000190007,0.0005214757,0.0002156833,0.0001329279],"domain_scores_gemma":[0.99898,0.000009969069,0.00006524065,0.0007189481,0.0001215124,0.0001043608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005124356,0.0007365917,0.01392469,0.0002191589,0.0001040355,0.0002247266,0.0007651441,0.0006155441,0.864029,0.00471539,0.03334608,0.08080713],"study_design_scores_gemma":[0.001793189,0.00227686,0.2177819,0.00006411214,0.0003757412,0.0002001429,0.0003347282,0.001487533,0.0780548,0.0004613663,0.6967991,0.0003704882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790136,0.00009775362,0.0004581365,0.01065249,0.0003712405,0.0005515198,0.000006346233,0.0004681137,0.008380782],"genre_scores_gemma":[0.9952131,0.000004896045,0.0005014187,0.001926557,0.001374879,0.00001782315,0.0001335665,0.0000210515,0.000806707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7859743,"threshold_uncertainty_score":0.3152224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09360330349612576,"score_gpt":0.3203530502123748,"score_spread":0.226749746716249,"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."}}