{"id":"W3161680980","doi":"10.2147/ijgm.s309232","title":"The Application of Computed Tomography Perfusion in the Alberta Stroke Program Early Computed Tomography Score for Endovascular Treatment of Acute Ischemic Stroke in the Anterior Circulation","year":2021,"lang":"en","type":"article","venue":"International Journal of General Medicine","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Perfusion scanning; Cerebral blood flow; Perfusion; Stroke (engine); Computed tomography angiography; Area under the curve; Receiver operating characteristic; Magnetic resonance imaging; Radiology; Computed tomography; Acute stroke; Angiography; Internal medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007100209,0.0001925263,0.0004792372,0.0004301757,0.00004675679,0.00002271203,0.0005292109,0.00006786476,0.000007130656],"category_scores_gemma":[0.00007844932,0.00009787529,0.0004054345,0.0005310428,0.0001791243,0.00007412048,0.00004685619,0.0001925236,2.053989e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021511,"about_ca_system_score_gemma":0.00007845226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391223,"about_ca_topic_score_gemma":0.0001149563,"domain_scores_codex":[0.9973745,0.0001456733,0.001037776,0.0002049216,0.001047865,0.0001892549],"domain_scores_gemma":[0.9977257,0.0003952948,0.0007096934,0.0003486876,0.0007750848,0.00004559931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002619987,0.002808575,0.2608044,0.00013258,0.004346051,0.0002498073,0.006226037,0.000476421,0.468367,0.0007108373,0.002513545,0.2507447],"study_design_scores_gemma":[0.02282253,0.005245167,0.8737983,0.001360253,0.001706614,0.001134324,0.002402601,0.02343626,0.0423322,0.0001010135,0.02540281,0.0002579604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827216,0.001971968,0.005877728,0.007408529,0.0003509794,0.001308014,0.00002616977,0.000005488618,0.0003294937],"genre_scores_gemma":[0.9954867,0.0004655492,0.002892437,0.0003185098,0.0005474257,0.0000952043,0.000130811,0.00001392603,0.00004941083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6129938,"threshold_uncertainty_score":0.3991239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444129928705038,"score_gpt":0.2926921415115097,"score_spread":0.2782508422244593,"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."}}