{"id":"W4387396632","doi":"10.1016/j.fertnstert.2023.08.244","title":"A NOVEL EPIGENETIC-BASED TEST TO PREDICT TESE AND MTESE OUTCOMES","year":2023,"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":"Decipher Biosciences (Canada)","funders":"","keywords":"Test (biology); Epigenetics; Medicine; Biology; Gynecology; Genetics; Ecology","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":[0.0008234928,0.0005919659,0.000597771,0.00131988,0.0003655597,0.0008741457,0.0005731461,0.001004271,0.004690082],"category_scores_gemma":[0.003177939,0.0001747152,0.0005028316,0.0007778806,0.0003235315,0.0005827594,0.0005556118,0.0007539766,0.001235683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003761266,"about_ca_system_score_gemma":0.0005629307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544094,"about_ca_topic_score_gemma":0.002933968,"domain_scores_codex":[0.9994798,0.000114053,0.0000436941,0.0001447468,0.0001459273,0.00007169534],"domain_scores_gemma":[0.9987965,0.0004341445,0.0002876628,0.00007645966,0.0002756256,0.0001295777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074349,0.0004496953,0.8963963,0.0001630343,0.0003563841,0.0004320071,0.0000902254,0.001295894,0.01078603,0.0006982975,0.003175575,0.08508224],"study_design_scores_gemma":[0.0001907564,0.003353881,0.9319736,0.0001586659,0.0006084218,0.005002315,0.000380435,0.01698514,0.02582708,0.0035425,0.01188026,0.00009702578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411857,0.005742208,0.0217394,0.002133488,0.0005772078,0.0004172057,0.01110475,0.0006476967,0.01645227],"genre_scores_gemma":[0.9833592,0.0006288071,0.007153984,0.0006790259,0.0001932378,0.0002000306,0.002600345,0.00003064539,0.005154802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004690082,"threshold_uncertainty_score":0.01568991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593292691850807,"score_gpt":0.2828278742352437,"score_spread":0.2468949473167356,"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."}}