{"id":"W4392045356","doi":"10.1111/ppe.13057","title":"Pregnancy, stroke and selection bias","year":2024,"lang":"en","type":"letter","venue":"Paediatric and Perinatal Epidemiology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Montréal","funders":"","keywords":"Medicine; Pregnancy; Selection bias; Selection (genetic algorithm); Stroke (engine); Obstetrics; Artificial intelligence; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0582015,0.0006341835,0.00288339,0.003284978,0.002349128,0.002826114,0.003425314,0.01307355,0.04918301],"category_scores_gemma":[0.3209465,0.001179877,0.002610333,0.007465295,0.001573479,0.00313383,0.001778095,0.005550925,0.01075041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949039,"about_ca_system_score_gemma":0.006577223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111978,"about_ca_topic_score_gemma":0.02297412,"domain_scores_codex":[0.9260253,0.04434826,0.01586606,0.002435022,0.009291877,0.00203347],"domain_scores_gemma":[0.7117605,0.206082,0.02295907,0.02023737,0.03294689,0.006014256],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001069936,0.00002418762,0.007778364,0.001951721,0.0003944826,0.000563617,0.0001680555,0.0001001689,0.00008255752,0.002900705,0.95814,0.02682627],"study_design_scores_gemma":[0.004449067,0.0003479877,0.04479546,0.0197377,0.001862782,0.002528572,0.0006713119,0.001026736,0.000767908,0.01867169,0.9048381,0.000302602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004891307,0.01920015,0.001904955,0.8277774,0.05526487,0.001074171,0.0427411,0.0001816584,0.04696436],"genre_scores_gemma":[0.1086547,0.02314098,0.005083843,0.7205392,0.06147359,0.01049356,0.02036291,0.0003048062,0.04994643],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9417985,"threshold_uncertainty_score":0.3078027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06298268685043092,"score_gpt":0.3120442624058307,"score_spread":0.2490615755553998,"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."}}