{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000120672,0.0005055228,0.0007090485,0.0001502187,0.0004789062,0.000358631,0.0006559858,0.0001034302,0.0004840306],"category_scores_gemma":[0.0008611242,0.0004002119,0.0006820425,0.00009735812,0.0004141416,0.0003300409,0.0003489105,0.0002953457,0.0001680022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561348,"about_ca_system_score_gemma":0.0002173516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185587,"about_ca_topic_score_gemma":0.0001893114,"domain_scores_codex":[0.9969597,0.00005368717,0.0003318585,0.0008420402,0.001059164,0.0007534788],"domain_scores_gemma":[0.9963575,0.0000769318,0.0003428084,0.002322679,0.0003337881,0.0005662961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003364884,0.00149102,0.9508755,0.0003199648,0.005834459,0.0006059771,0.0001717844,0.00000305338,0.0006431878,0.00002673629,0.01888043,0.02081135],"study_design_scores_gemma":[0.006701239,0.0009423912,0.9618385,0.0007545843,0.00389296,0.00008586101,0.0001758424,0.0001399745,0.003973175,0.000007890305,0.02082606,0.0006615039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840367,0.0006468937,0.00002472093,0.001247938,0.0001534984,0.001817889,0.0004935354,0.0003072486,0.01127151],"genre_scores_gemma":[0.9648416,0.00006711583,0.0003246199,0.0009487618,0.0002472399,0.0002543467,0.0003680584,0.0001160036,0.03283228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02156077,"threshold_uncertainty_score":0.999845,"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."}}