{"id":"W7129620448","doi":"10.71892/11143/1412","title":"Évaluation du dépistage prénatal des malformations cardiaques congénitales : grande hétérogénéité de la détection prénatale parmi les médecins, établissements et régions et méta-analyse des facteurs de risque prénataux","year":2025,"lang":"fr","type":"other","venue":"USherbrooke-PROD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Risk factor; Congenital disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01712401,0.001049137,0.002704881,0.002995585,0.0008457378,0.002456604,0.001547426,0.001588817,0.002950902],"category_scores_gemma":[0.05282241,0.0006404052,0.006990953,0.004439207,0.0008812122,0.001356592,0.001253096,0.001566719,0.000212734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00294112,"about_ca_system_score_gemma":0.004647937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05353391,"about_ca_topic_score_gemma":0.06776281,"domain_scores_codex":[0.9858508,0.007131093,0.001693251,0.002929855,0.001827193,0.0005678112],"domain_scores_gemma":[0.9543013,0.03512752,0.005285327,0.002215733,0.00254445,0.0005255949],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003279115,0.00005912469,0.7811735,0.02632308,0.116116,0.0004564013,0.001165694,0.001912133,0.0009083816,0.001737417,0.00362876,0.0632403],"study_design_scores_gemma":[0.000412297,0.0008505792,0.7623566,0.02127952,0.1779,0.00147699,0.001250971,0.003475006,0.001765639,0.003371644,0.0257325,0.00012825],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2775222,0.6876757,0.01294517,0.005181593,0.0008047477,0.0003405268,0.01185696,0.0001125729,0.003560571],"genre_scores_gemma":[0.9310981,0.05587438,0.006899788,0.001450143,0.0002586992,0.0004618454,0.002868078,0.00006569279,0.001023264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9972951,"threshold_uncertainty_score":0.1064446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04137217470670909,"score_gpt":0.3247447724930402,"score_spread":0.2833725977863312,"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."}}