{"id":"W2281583650","doi":"10.1161/str.43.suppl_1.a2835","title":"Abstract 2835: Hyperdense MCA as a Predictor of Stroke Severity: Does Size Matter?","year":2012,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Middle cerebral artery; Stroke (engine); Univariate analysis; Modified Rankin Scale; Cardiology; Internal medicine; Thrombolysis; Retrospective cohort study; Thrombosis; Occlusion; Radiology; Multivariate analysis; Ischemic stroke; Ischemia","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":[0.001484427,0.0004835397,0.0004990042,0.0009920984,0.0002956179,0.0007530758,0.0006826444,0.0008886873,0.005197542],"category_scores_gemma":[0.007353919,0.0002019432,0.0004300159,0.001409048,0.0007513726,0.0008615478,0.0003276315,0.0005924524,0.0007365345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856251,"about_ca_system_score_gemma":0.0003649101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009206622,"about_ca_topic_score_gemma":0.001242068,"domain_scores_codex":[0.9993718,0.0002680181,0.00008295842,0.0001081459,0.0001085047,0.00006059727],"domain_scores_gemma":[0.9924115,0.003804372,0.002264707,0.000233169,0.0004939954,0.0007922579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003077019,0.00002309063,0.9972145,0.00002376901,0.00005574927,0.0001445213,0.00001800083,0.00005121855,0.0001078118,0.00001525618,0.0002308287,0.001807621],"study_design_scores_gemma":[0.00002926222,0.0003870127,0.9971834,0.00002974495,0.0001491517,0.0009085428,0.00009663012,0.0007239163,0.00008469434,0.0001222003,0.0002786531,0.000006764452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950127,0.001907338,0.0002771425,0.0008561485,0.0000941265,0.00002166279,0.0006364537,0.00001086145,0.00118351],"genre_scores_gemma":[0.9984415,0.0002883663,0.0001865092,0.00007702344,0.0003955806,0.0000133813,0.000374932,0.000004455536,0.0002181799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005197542,"threshold_uncertainty_score":0.01738757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00962703540187544,"score_gpt":0.2509932057677536,"score_spread":0.2413661703658782,"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."}}