{"id":"W2976310447","doi":"10.1016/j.fertnstert.2019.07.1034","title":"An age-based nomogram based on cut off values of semen analysis results, from 2010 who reference values for semen characteristics","year":2019,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Percentile; Sperm; Semen; Nomogram; Semen analysis; Fertility; Sperm motility; Andrology; Population; Medicine; Biology; Gynecology; Pregnancy; Internal medicine; Infertility; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003522257,0.001247368,0.001098973,0.006115192,0.0005864014,0.001807833,0.0007141124,0.001034342,0.002050685],"category_scores_gemma":[0.009834833,0.0002786052,0.001511493,0.002512916,0.0004194872,0.001239918,0.0009919939,0.001316005,0.001171843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005386588,"about_ca_system_score_gemma":0.0009426088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004578052,"about_ca_topic_score_gemma":0.005901824,"domain_scores_codex":[0.9986216,0.0003548005,0.0002402322,0.000295026,0.0003424719,0.0001459104],"domain_scores_gemma":[0.9939381,0.002029748,0.001652562,0.0002805481,0.00174496,0.0003541706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001668541,0.0001302841,0.9076717,0.0004261243,0.0006277255,0.0003650584,0.0003886456,0.004274554,0.002253735,0.00117518,0.01367954,0.06733877],"study_design_scores_gemma":[0.000140565,0.001129368,0.9360544,0.0004267495,0.001015631,0.003444313,0.001075385,0.02844145,0.002161767,0.002196434,0.02374969,0.0001642588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8579386,0.01192627,0.07069556,0.001746134,0.001769778,0.0004597106,0.02241114,0.00280769,0.03024511],"genre_scores_gemma":[0.9493164,0.001480591,0.03536424,0.0002747729,0.0001978313,0.0002541396,0.01025956,0.0001692107,0.002683173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006115192,"threshold_uncertainty_score":0.0186277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415312983378294,"score_gpt":0.2867312955798094,"score_spread":0.2525781657460265,"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."}}