{"id":"W4297381546","doi":"10.21203/rs.3.rs-2067919/v1","title":"Low (0-5) Alberta Stroke Program Early Computed Tomography Score on Admission Predictive of Worse Functional Outcome after Mechanical Thrombectomy for Anterior Circulation Large Vessel Occlusion","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Liaoning Province; Natural Science Foundation of Shenyang City","keywords":"Medicine; Modified Rankin Scale; Occlusion; Intracerebral hemorrhage; Thrombolysis; Middle cerebral artery; Stroke (engine); Atrial fibrillation; Confidence interval; Internal medicine; Cardiology; Odds ratio; Internal carotid artery; Logistic regression; Myocardial infarction; Ischemia; Ischemic stroke; Subarachnoid hemorrhage","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":[0.0005180249,0.0003756414,0.000227912,0.0005767596,0.0003336231,0.0007378461,0.0003573486,0.000509668,0.001642766],"category_scores_gemma":[0.002535302,0.0001416709,0.0003208255,0.0005980098,0.0003906213,0.0002902231,0.0002984054,0.0006520048,0.000201212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624494,"about_ca_system_score_gemma":0.0004937286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007412347,"about_ca_topic_score_gemma":0.008946643,"domain_scores_codex":[0.9996855,0.00009651599,0.00003311747,0.0000487244,0.00006480778,0.00007125241],"domain_scores_gemma":[0.9979928,0.0004369803,0.0008196508,0.00006953504,0.0001855355,0.0004954466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009873322,0.00001910868,0.9993367,0.000002637557,0.00001925405,0.00004090893,0.000009349366,0.00002529964,0.00007843359,0.000006873991,0.00003484196,0.0003279174],"study_design_scores_gemma":[0.000004620588,0.00005138782,0.9994516,0.000002283815,0.0000185271,0.0001365103,0.00005123846,0.000216962,0.00002269837,0.00001918754,0.00002299951,0.000001956112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993942,0.00009189147,0.00004696491,0.00003811602,0.000005740139,0.000004088732,0.0000905117,0.000002460417,0.0003260695],"genre_scores_gemma":[0.9997606,0.0000189248,0.00002414437,0.00001096577,0.00001165732,0.000001625198,0.000123976,5.992572e-7,0.00004754737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007412347,"threshold_uncertainty_score":0.01473838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04762678149498231,"score_gpt":0.3763211406711988,"score_spread":0.3286943591762165,"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."}}