{"id":"W2107358822","doi":"10.3174/ajnr.a0689","title":"Alberta Stroke Program Early CT Scoring of CT Perfusion in Early Stroke Visualization and Assessment","year":2007,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Intraclass correlation; Modified Rankin Scale; Stroke (engine); Radiology; Perfusion scanning; Perfusion; Cerebral blood volume; Receiver operating characteristic; Middle cerebral artery; Nuclear medicine; Cardiology; Ischemia; Internal medicine; Ischemic stroke","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001689509,0.0005275262,0.0002408334,0.001621821,0.0002209571,0.0004953461,0.0006957368,0.0003218975,0.001282837],"category_scores_gemma":[0.005770877,0.000136614,0.0001942619,0.0006887495,0.0004224684,0.0003153356,0.0004361362,0.0002731643,0.0002443852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849007,"about_ca_system_score_gemma":0.001168229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603148,"about_ca_topic_score_gemma":0.02328106,"domain_scores_codex":[0.9993014,0.0002583013,0.00005967214,0.00004342512,0.0002718248,0.00006535528],"domain_scores_gemma":[0.9984642,0.0003144797,0.0003869564,0.00006278033,0.0005612979,0.0002101972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002832334,0.000195931,0.8661292,0.0001725277,0.0002151314,0.0004505293,0.0001631631,0.00434437,0.00523771,0.0004518596,0.004778789,0.1150286],"study_design_scores_gemma":[0.0002604701,0.0008182356,0.9761977,0.00007683277,0.0001417878,0.002285947,0.00008846536,0.01526047,0.001693286,0.001152897,0.001991561,0.00003247798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623931,0.003171833,0.01994208,0.0003536423,0.0000619597,0.0009435829,0.001436459,0.0003315214,0.01136579],"genre_scores_gemma":[0.9858869,0.000498932,0.01167618,0.00005338756,0.00002709459,0.0003161717,0.0008171118,0.00001374117,0.000710304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9839685,"threshold_uncertainty_score":0.03187633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312747102076691,"score_gpt":0.3239498680464209,"score_spread":0.310822397025654,"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."}}