{"id":"W2135529029","doi":"10.1017/s0317167100004972","title":"ASPECT Scoring to Estimate >1/3 Middle Cerebral Artery Territory Infarction","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Brandon Regional Health Authority","funders":"","keywords":"Kappa; Medicine; Intraclass correlation; Receiver operating characteristic; Cohen's kappa; Stroke (engine); Infarction; Cerebral infarction; Reliability (semiconductor); Radiology; Nuclear medicine; Internal medicine; Ischemia; Statistics; Psychometrics; Myocardial infarction; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006323349,0.0006616612,0.0005368935,0.001697992,0.000222007,0.0006858321,0.0005181168,0.0004237139,0.001021317],"category_scores_gemma":[0.0177118,0.0002126139,0.0004814757,0.0006487506,0.0004568545,0.000724764,0.0009011431,0.0003551902,0.0003219294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396159,"about_ca_system_score_gemma":0.0003960729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379849,"about_ca_topic_score_gemma":0.002979405,"domain_scores_codex":[0.9958417,0.001590124,0.0005068782,0.0004623904,0.00143546,0.0001634045],"domain_scores_gemma":[0.9925731,0.002015559,0.002125163,0.0006701088,0.002268068,0.0003479466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006435316,0.00008096307,0.9400843,0.00009892641,0.0003511178,0.00009625014,0.0003665939,0.001698064,0.001984278,0.000154982,0.0008920783,0.05354897],"study_design_scores_gemma":[0.00005115993,0.0005896201,0.9831101,0.0000561688,0.0001283951,0.0008547474,0.0001724219,0.01193201,0.001637382,0.0004275536,0.001001197,0.00003935454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648438,0.001115386,0.02682677,0.00009935276,0.000079166,0.0004827034,0.0004368042,0.0002387423,0.005877328],"genre_scores_gemma":[0.9856483,0.0002018517,0.01302646,0.00004053495,0.00003941308,0.0001684552,0.0003545821,0.00002401311,0.0004964255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006323349,"threshold_uncertainty_score":0.03344148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935875960139602,"score_gpt":0.2671803584535235,"score_spread":0.2378215988521275,"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."}}