{"id":"W2140365873","doi":"","title":"Use of the Alberta Stroke Program Early CT Score (ASPECTS) for assessing CT scans in patients with acute stroke.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":922,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Medicine; Stroke (engine); Context (archaeology); Radiology; Kappa; Cohen's kappa; Computed tomography; Middle cerebral artery; Thrombolysis; Reliability (semiconductor); Infarction; Acute stroke; Nuclear medicine; Tissue plasminogen activator; Cardiology; Ischemia; Myocardial infarction; Internal medicine; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001596652,0.0002217478,0.0003637928,0.0001476862,0.00005442148,0.00006932783,0.0002273354,0.00003248732,0.000009248651],"category_scores_gemma":[0.0001626684,0.0001448283,0.0001158515,0.0003947618,0.0001138895,0.0002876571,0.0001215436,0.0002028093,0.000001136742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888432,"about_ca_system_score_gemma":0.00006658249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006352103,"about_ca_topic_score_gemma":0.0003694844,"domain_scores_codex":[0.9981501,0.00003140663,0.0003446796,0.0003595402,0.0005042289,0.0006100803],"domain_scores_gemma":[0.9988493,0.0001082218,0.0002259712,0.0005703364,0.0001195462,0.0001266417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003499739,0.0004516828,0.9079583,0.0000469322,0.0003300574,0.0000263473,0.00004964523,0.000008677991,0.00002303922,0.00002597861,0.001281733,0.08944762],"study_design_scores_gemma":[0.003883467,0.0001746309,0.9832212,0.00009958223,0.0003971263,0.00001189281,0.00004979713,0.00008786445,0.0008796473,0.000002679247,0.01104652,0.0001456063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865681,0.00001374819,0.00009873326,0.0005434664,0.0001368352,0.005889757,0.00005231984,0.00004305816,0.006654018],"genre_scores_gemma":[0.9894057,0.000005612821,0.001386637,0.0001924059,0.00005840067,0.002001861,0.00003992829,0.00004820418,0.006861289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08930202,"threshold_uncertainty_score":0.5905926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645802878867487,"score_gpt":0.2486340981362601,"score_spread":0.2221760693475852,"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."}}