{"id":"W7161788804","doi":"10.82308/46173","title":"Stroke in adults with congenital heart disease: Incidence and predictors","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Stroke (engine); Incidence (geometry); 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":[],"consensus_categories":[],"category_scores_codex":[0.0005593416,0.0001596534,0.0002332788,0.00127413,0.0003486669,0.0004620388,0.0002406562,0.0003448537,0.001165696],"category_scores_gemma":[0.002232554,0.0001627465,0.0002765162,0.001755955,0.0002173873,0.0002777989,0.0002976981,0.0004315788,0.0001778938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103222,"about_ca_system_score_gemma":0.001077022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1497424,"about_ca_topic_score_gemma":0.2054579,"domain_scores_codex":[0.9996799,0.00005976857,0.00005282944,0.00006701938,0.00009109255,0.00004943905],"domain_scores_gemma":[0.9990442,0.0001327536,0.0003902507,0.00004860045,0.000240387,0.0001438138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001084841,0.000004009692,0.9992772,0.000005160668,0.00001302726,0.0000142337,0.00001194518,0.00001614559,0.00001050922,0.000005601521,0.00007563381,0.0005556722],"study_design_scores_gemma":[0.000001253515,0.00001122548,0.9996768,0.000007173851,0.000007385201,0.00006973019,0.00003363553,0.00009505336,0.000007638717,0.000006671114,0.00008259182,7.783655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950615,0.001743095,0.0001195632,0.0002190656,0.00001066159,0.00001855012,0.001851647,0.000006659555,0.0009692046],"genre_scores_gemma":[0.9975666,0.0008399955,0.0001021359,0.00003357999,0.00001808273,0.00001518092,0.001243023,0.000001328902,0.0001800608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1497424,"threshold_uncertainty_score":0.2977415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005729988691610653,"score_gpt":0.2561167639938532,"score_spread":0.2503867753022426,"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."}}