{"id":"W2964823350","doi":"10.1161/strokeaha.118.024583","title":"Noncontrast Computed Tomography Alberta Stroke Program Early CT Score May Modify Intra-Arterial Treatment Effect in DAWN","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Odds ratio; Modified Rankin Scale; Stroke (engine); Computed tomography; Computed tomography angiography; Magnetic resonance imaging; Radiology; Odds; Nuclear medicine; Internal medicine; Ischemic stroke; Logistic regression","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":[0.001310596,0.0002262609,0.0004851135,0.0001661218,0.0001624048,0.0004685759,0.0001844779,0.0002875049,0.001055315],"category_scores_gemma":[0.002955579,0.00008574475,0.0005056414,0.0001880585,0.0002724327,0.0001492175,0.0001837669,0.0003876054,0.00007349638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804021,"about_ca_system_score_gemma":0.0005919501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003293009,"about_ca_topic_score_gemma":0.009183054,"domain_scores_codex":[0.9993734,0.0003189083,0.00004581821,0.00008463342,0.0001006217,0.00007657244],"domain_scores_gemma":[0.9986159,0.0005624115,0.0003729158,0.0001011702,0.00008959971,0.0002579789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03813698,0.0009537798,0.9267697,0.0001248492,0.001343271,0.0001353801,0.00007374561,0.0003904135,0.002346148,0.0001744592,0.0005769783,0.02897429],"study_design_scores_gemma":[0.0003966965,0.004408384,0.9926522,0.000016328,0.0004224869,0.00009199839,0.000050047,0.0006631232,0.0005795118,0.0001972566,0.000514028,0.000007904362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979031,0.0008478232,0.0001624258,0.0001031996,0.00003799982,0.00002312541,0.0001187949,0.000006010983,0.0007976002],"genre_scores_gemma":[0.9992623,0.0001364634,0.0001476235,0.00007841629,0.00002139783,0.000009448213,0.0001048749,0.000001866143,0.0002374951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003293009,"threshold_uncertainty_score":0.006931186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008689041165363814,"score_gpt":0.2539590965805942,"score_spread":0.2452700554152304,"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."}}