{"id":"W4229367116","doi":"10.1161/strokeaha.121.037582","title":"Stroke of Other Determined Etiology: Results From the Nationwide Multicenter Stroke Registry","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Korea Centers for Disease Control and Prevention; Centers for Disease Control and Prevention","keywords":"Stroke (engine); Coagulopathy; Multicenter study; Stroke risk; Epidemiology; Lesion; Ischemic stroke","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":[],"consensus_categories":[],"category_scores_codex":[0.002518392,0.0003209824,0.0007459078,0.002593477,0.0003376113,0.0005621194,0.000545034,0.0003037007,0.0007160822],"category_scores_gemma":[0.00496652,0.0002636352,0.0006549815,0.003882219,0.0001376105,0.0006940865,0.0006738385,0.0003111363,0.0003015176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659127,"about_ca_system_score_gemma":0.0007564649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006244741,"about_ca_topic_score_gemma":0.00849959,"domain_scores_codex":[0.9977971,0.0006350836,0.000680723,0.0003362475,0.0003855346,0.0001652645],"domain_scores_gemma":[0.9954872,0.0006351954,0.002267525,0.0004451531,0.0008154725,0.000349442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001125649,0.00001914453,0.9979452,0.0000292602,0.000131749,0.00004659084,0.0000294647,0.0000452103,0.00004859785,0.00001174324,0.0004875175,0.001092899],"study_design_scores_gemma":[0.00002332211,0.00003430757,0.9991071,0.00001038962,0.0000778696,0.0001688338,0.00009053006,0.0001513842,0.00003471439,0.00001253525,0.0002849208,0.000004199026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794201,0.0004876889,0.0002918297,0.00007249419,0.0000121252,0.0001013517,0.01890128,0.00002554531,0.0006874893],"genre_scores_gemma":[0.9624603,0.0004590995,0.0003824665,0.00005800579,0.00003181943,0.0001957352,0.03628059,0.00001077192,0.0001211962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006244741,"threshold_uncertainty_score":0.01331866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835587338469353,"score_gpt":0.2670402578520069,"score_spread":0.2486843844673133,"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."}}