{"id":"W3089321739","doi":"10.1055/s-0040-1713786","title":"Bayes Theorem and Protopathic Bias: Methodological Concerns When Addressing the Impact of Fetal Heart Rate Patterns on the Cesarean Section Rate","year":2020,"lang":"en","type":"article","venue":"American Journal of Perinatology Reports","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Caesarean section; Fetal heart rate; Medicine; Bayes' theorem; Electronic fetal monitoring; Umbilical cord; Heart rate; Obstetrics; Intensive care medicine; Pregnancy; Statistics; Internal medicine; Mathematics; Bayesian probability","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":[0.002413213,0.0001934204,0.00081037,0.00006547029,0.000117208,0.00001593839,0.0001091352,0.00007625296,0.0001107932],"category_scores_gemma":[0.002046222,0.00008517167,0.0002786701,0.0001576446,0.001235766,0.0000637542,0.000076647,0.0007265044,7.5146e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002640475,"about_ca_system_score_gemma":0.0001424487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007020044,"about_ca_topic_score_gemma":0.000001954978,"domain_scores_codex":[0.9969109,0.001782302,0.0006522507,0.0002544165,0.0001739624,0.0002261121],"domain_scores_gemma":[0.9971354,0.001140157,0.001174614,0.0002130527,0.0001806428,0.0001561408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006970686,0.0002949261,0.782267,0.0001853015,0.000947737,0.01570504,0.01160027,0.00008287466,0.09604529,0.0004971481,0.0005223227,0.08488137],"study_design_scores_gemma":[0.001207975,0.01848028,0.8232881,0.000356673,0.0002791796,0.1287643,0.006535038,0.0003026769,0.01560837,0.003053421,0.001820445,0.0003035014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861167,0.0002300576,0.0005508481,0.01243098,0.0001412449,0.0003723851,0.000005595808,0.00001375392,0.0001384584],"genre_scores_gemma":[0.9974172,0.00004946056,0.0002812783,0.001986639,0.0002232504,0.0000122033,0.00000154469,0.0000160687,0.00001235651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130593,"threshold_uncertainty_score":0.4553231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143297267484402,"score_gpt":0.3771849823426052,"score_spread":0.2338877148582032,"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."}}