{"id":"W4413827738","doi":"10.2196/72497","title":"Validation and Refinement of Scores to Predict Stroke Risk: Prospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Medicine; Receiver operating characteristic; Stroke (engine); Risk assessment; Cohort; Population; Cohort study; Framingham Risk Score; Statistics; Risk factor; Internal medicine; Environmental health; Computer science; Mathematics; Disease; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03011585,0.001149152,0.0007231609,0.001368541,0.0007408864,0.001033222,0.00133779,0.0007230376,0.0007160563],"category_scores_gemma":[0.04323251,0.0004737132,0.001510387,0.001329349,0.0007760903,0.0008756079,0.001236464,0.00157261,0.0003955269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006344897,"about_ca_system_score_gemma":0.002155898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006536175,"about_ca_topic_score_gemma":0.005978128,"domain_scores_codex":[0.9908609,0.005100774,0.000832669,0.001206117,0.001605105,0.0003944126],"domain_scores_gemma":[0.9826865,0.004965955,0.003318318,0.003857617,0.004407471,0.0007642276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003929305,0.0002176425,0.9912047,0.00002687107,0.0003381242,0.00004035299,0.0002384784,0.0003895506,0.0001315223,0.0001184521,0.000330027,0.006571395],"study_design_scores_gemma":[0.0002668459,0.001506363,0.9890989,0.00006687293,0.0004863285,0.0001963154,0.0002141747,0.006643269,0.0003150642,0.0003050281,0.0008698028,0.00003101641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924845,0.000281493,0.005114985,0.0000884484,0.00004441366,0.0006431767,0.0007416268,0.00003426181,0.000567094],"genre_scores_gemma":[0.9935182,0.0001619247,0.004624974,0.00004720513,0.00002098468,0.0003701477,0.001046796,0.00001500407,0.0001946737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03011585,"threshold_uncertainty_score":0.1592697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414384521071038,"score_gpt":0.30972515184273,"score_spread":0.2955813066320196,"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."}}