{"id":"W4307398192","doi":"10.1016/j.fertnstert.2022.08.515","title":"AMERICAN SOCIETY FOR REPRODUCTIVE MEDICINE (ASRM) MULLERIAN ANOMALIES CLASSIFICATION 2021 (MAC 2021): PREVALENCE IN A RECURRENT PREGNANCY LOSS (RPL) POPULATION","year":2022,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Reproductive medicine; Gynecology; Anti-Müllerian hormone; Tertiary care; Population; Pregnancy; Obstetrics; Müllerian mimicry; Internal medicine; Biology; Pathology; Environmental health; 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":[0.0002722828,0.0001662771,0.0001728818,0.001783438,0.0003031684,0.0003934508,0.0003471314,0.0003264106,0.003351185],"category_scores_gemma":[0.001344147,0.0000999488,0.0001630581,0.001139277,0.0001294096,0.0002763881,0.000405158,0.0002280657,0.0003909975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180095,"about_ca_system_score_gemma":0.0002829541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01013648,"about_ca_topic_score_gemma":0.007701154,"domain_scores_codex":[0.9997807,0.00004481549,0.00002480107,0.00004925259,0.00005257115,0.00004789502],"domain_scores_gemma":[0.9995036,0.0000619741,0.0002369499,0.00001449746,0.0000774256,0.0001054596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006723078,0.00003200214,0.9906811,0.00001598459,0.00001627615,0.0001017705,0.0001134961,0.00003111675,0.0003541844,0.000115848,0.001719078,0.006752037],"study_design_scores_gemma":[0.000002920354,0.00002946953,0.9984384,0.00001146679,0.000007096816,0.0005729894,0.000187465,0.0001146978,0.00003442237,0.00004008342,0.000558781,0.000002208321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916244,0.0007748158,0.0001602029,0.000272393,0.00002647524,0.00002444787,0.004541134,0.00001628512,0.002559874],"genre_scores_gemma":[0.9960868,0.000489893,0.0001510752,0.00008006377,0.00002761794,0.00002814193,0.002479305,0.000005814969,0.0006512171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013648,"threshold_uncertainty_score":0.02015495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064425341070738,"score_gpt":0.3210835527218379,"score_spread":0.2704392993111305,"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."}}