{"id":"W3139000813","doi":"10.21037/tau-2019-gcmi-14","title":"Unraveling the mystery of genetics and male infertility","year":2021,"lang":"en","type":"article","venue":"Translational Andrology and Urology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Male infertility; Infertility; Genetics; Computational biology; Biology; Medicine; Bioinformatics; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003078418,0.00004924303,0.0001551653,0.00003811469,0.00006734733,0.000001707117,0.00002800447,0.0000876788,0.0002291499],"category_scores_gemma":[0.00005522409,0.00003245531,0.00002022358,0.00007894584,0.000657238,0.00001530867,0.0000161052,0.0001390012,0.000001121987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000010556,"about_ca_system_score_gemma":0.0001044777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007791691,"about_ca_topic_score_gemma":0.00003353885,"domain_scores_codex":[0.9994038,0.00007318838,0.0001441702,0.0001499166,0.00009944179,0.0001294987],"domain_scores_gemma":[0.9994954,0.0002487783,0.00001996609,0.00008718427,0.00008771873,0.00006096693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004981285,0.00007107946,0.9701402,0.00007961524,0.00006133789,0.0000635797,0.00104302,0.0000275108,0.01351011,0.00362677,0.00004714802,0.01083157],"study_design_scores_gemma":[0.001148763,0.0002982485,0.9898173,0.000004321362,0.00006481714,0.001295312,0.00006101803,0.001619323,0.0007247024,0.002615458,0.002319864,0.00003094026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746673,0.007777944,0.0006376949,0.01520582,0.00005285225,0.0000771315,0.000004495017,0.00000385683,0.001572914],"genre_scores_gemma":[0.9970102,0.0005143091,0.0001683158,0.002027742,0.00005079259,0.000002769356,0.00001035389,0.000002158855,0.0002133119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02234295,"threshold_uncertainty_score":0.250903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134235108329676,"score_gpt":0.3049330841602184,"score_spread":0.2735907330769216,"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."}}