{"id":"W2808721562","doi":"10.1515/jpm-2017-0299","title":"Obstetrical, maternal and neonatal outcomes in pregnancies affected by muscular dystrophy","year":2018,"lang":"en","type":"article","venue":"Journal of Perinatal Medicine","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Muscular dystrophy; Obstetrics; Population; Incidence (geometry); Pediatrics; Duchenne muscular dystrophy; Pregnancy; Intrauterine growth restriction; Cohort; Retrospective cohort study; Cohort study; Fetus; Internal medicine","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":[0.00008821545,0.0001119555,0.000234283,0.0000800249,0.00003468323,0.00000522515,0.0001265255,0.0000858959,0.0000448482],"category_scores_gemma":[0.000292568,0.00007671265,0.00004335046,0.00007287056,0.0003538884,0.000008462375,0.00005807976,0.0001190613,0.000001230136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008288249,"about_ca_system_score_gemma":0.00002103275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002075639,"about_ca_topic_score_gemma":0.000007209629,"domain_scores_codex":[0.999311,0.00004127478,0.0002390457,0.0001284142,0.0001329572,0.0001473211],"domain_scores_gemma":[0.9995978,0.00001893522,0.0001189393,0.0001018108,0.00008051895,0.00008192851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007813628,0.0001241168,0.05672674,0.00009713884,0.0001546302,0.0001414341,0.0003979967,0.000002812808,0.920952,0.00004668522,0.002920563,0.01765459],"study_design_scores_gemma":[0.009162504,0.01193665,0.8472844,0.0003149472,0.00006011808,0.000648214,0.0007838144,0.00004209466,0.09853522,0.0002357199,0.03060945,0.0003868854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917814,0.007374719,0.0001310234,0.0003041806,0.000274537,0.00005340137,0.000006159664,0.000002214163,0.00007242628],"genre_scores_gemma":[0.9990218,0.0003584011,0.0001287875,0.000156751,0.0002194756,0.000001687417,0.000005514714,0.000008005753,0.00009963536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8224167,"threshold_uncertainty_score":0.3128251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00464080521118303,"score_gpt":0.2472833807031012,"score_spread":0.2426425754919182,"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."}}