{"id":"W2592390721","doi":"10.1159/000458449","title":"Post-Stroke Seizures Is Associated with Low Alberta Stroke Program Early CT Score","year":2017,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Interquartile range; Stroke (engine); Internal medicine; Brain ischemia; Ischemia; Cohort; Epilepsy; Cardiology","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":[0.000400638,0.0004026969,0.0004386429,0.0008221795,0.0004472843,0.0007387073,0.0004706891,0.000371238,0.003112494],"category_scores_gemma":[0.00325428,0.0002025566,0.0003569797,0.001299957,0.0003746354,0.0003598395,0.0005121029,0.0008715471,0.0002808604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004832416,"about_ca_system_score_gemma":0.0009936511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309765,"about_ca_topic_score_gemma":0.01645138,"domain_scores_codex":[0.9995458,0.0000634069,0.0000568257,0.00007104528,0.0001693504,0.0000935585],"domain_scores_gemma":[0.9970938,0.0003847641,0.001628472,0.000115287,0.0003544542,0.0004233199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005627,0.00001358215,0.9986891,0.000006130367,0.00002818017,0.0002467172,0.00001333771,0.00003510612,0.00008520467,0.00001683276,0.0001034072,0.0006618334],"study_design_scores_gemma":[0.000003157478,0.00003352015,0.9988193,0.000005320949,0.00002148094,0.0007911398,0.00003436363,0.0001548556,0.00002344386,0.00004777455,0.00006232569,0.000003253525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974478,0.0003649376,0.00012801,0.000130047,0.00001205832,0.0000155089,0.000384022,0.00001420793,0.001503438],"genre_scores_gemma":[0.9993837,0.0001050623,0.000046407,0.0000158701,0.00001308198,0.000004159434,0.000296685,0.000002184722,0.0001328051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309765,"threshold_uncertainty_score":0.02604282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008926988966003344,"score_gpt":0.2447995906087803,"score_spread":0.235872601642777,"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."}}