{"id":"W4404340336","doi":"10.26420/austinjcerebrovascdisstroke.2024.1092","title":"Relevance of Non-Contrast Computed Tomography (NCCT) Based Alberta Stroke Program Early CT Score (ASPECTS) in Predicting Severity of Acute Ischemic Stroke at Presentation and Its Functional and Cognitive Outcome at 90 Days","year":2024,"lang":"en","type":"article","venue":"Austin Journal of Cerebrovascular Disease & Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Medicine; Contrast (vision); Stroke (engine); Presentation (obstetrics); Relevance (law); Cognition; Acute stroke; Ischemic stroke; Cardiology; Physical therapy; Radiology; Physical medicine and rehabilitation; Internal medicine; Ischemia; Artificial intelligence; Computer science; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007553321,0.0003411557,0.0002860007,0.0006772588,0.0001755398,0.000595987,0.0002446015,0.0004867047,0.001294012],"category_scores_gemma":[0.00369981,0.0001347119,0.0003272959,0.0004176819,0.0002359616,0.0003515168,0.0002980593,0.0004138874,0.0002104907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679137,"about_ca_system_score_gemma":0.0004357294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941321,"about_ca_topic_score_gemma":0.00308962,"domain_scores_codex":[0.9997072,0.00007759685,0.00003712444,0.00004834613,0.00008092864,0.00004878106],"domain_scores_gemma":[0.9983889,0.0004832467,0.0004036329,0.00004111965,0.000241437,0.0004417384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003100876,0.00004104808,0.9975699,0.000007977166,0.00003183144,0.00006543632,0.000013579,0.0001323724,0.0001234943,0.00000969444,0.000104046,0.001590556],"study_design_scores_gemma":[0.00002694414,0.0005353392,0.9967903,0.00001927382,0.0000522534,0.0004867837,0.00007702193,0.001621579,0.0001126477,0.0001074978,0.0001634314,0.000006933991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983618,0.0003960409,0.0001583099,0.0001293526,0.00001784557,0.00002303401,0.0002064564,0.000005049778,0.0007020102],"genre_scores_gemma":[0.999253,0.0001172627,0.0001602576,0.00001787339,0.00002582965,0.000009979942,0.0002872198,0.000001067126,0.0001274494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9980587,"threshold_uncertainty_score":0.004328907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182052813563324,"score_gpt":0.2614992196025802,"score_spread":0.2496786914669469,"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."}}