{"id":"W4387410302","doi":"10.1016/j.fertnstert.2023.08.941","title":"PROSPECTIVE ANALYSIS OF AN EPIGENETIC BIOMARKER PREDICTIVE OF SPERM QUALITY (SPERMQT)","year":2023,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Decipher Biosciences (Canada)","funders":"","keywords":"Sperm; Semen analysis; Fertility; Semen; Infertility; Semen quality; Male infertility; Andrology; Biomarker; Medicine; Prospective cohort study; Sperm motility; Biology; Gynecology; Pregnancy; Population; Internal medicine; Genetics","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":[0.0009172715,0.0005180385,0.0004036743,0.0006043956,0.0005616987,0.001002848,0.000458821,0.0009421792,0.003630929],"category_scores_gemma":[0.002265945,0.0003255941,0.0006384474,0.00111582,0.000299286,0.0004077455,0.0005170316,0.0007888701,0.0007004908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763752,"about_ca_system_score_gemma":0.0004090571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732499,"about_ca_topic_score_gemma":0.001563404,"domain_scores_codex":[0.9994523,0.00013738,0.00004925407,0.0001874439,0.00007540693,0.0000981979],"domain_scores_gemma":[0.9988826,0.0002459669,0.0004335159,0.000123677,0.0001502667,0.000163941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001409102,0.0001170468,0.9845769,0.00004310931,0.000309567,0.0001681662,0.00008767995,0.0001713435,0.006954943,0.000178191,0.000298752,0.005685285],"study_design_scores_gemma":[0.00004878021,0.0009497715,0.9944266,0.00001330392,0.0002520605,0.0004896657,0.00007696976,0.000433729,0.001991554,0.0002209238,0.001085642,0.00001102544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946813,0.0007868827,0.001106718,0.0001629141,0.00003552525,0.0000237746,0.002244013,0.00002466236,0.0009340983],"genre_scores_gemma":[0.9972572,0.00009749929,0.0005161954,0.00009246096,0.00002081041,0.00001615659,0.0008428901,0.000009808484,0.001147102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003630929,"threshold_uncertainty_score":0.01214671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0460926277729695,"score_gpt":0.3343786969368546,"score_spread":0.2882860691638851,"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."}}