{"id":"W2945036260","doi":"10.1177/1747493019851278","title":"Factors influencing infarct growth including collateral status assessed using computed tomography in acute stroke patients with large artery occlusion","year":2019,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Penumbra; Radiology; Perfusion scanning; Computed tomography; Stroke (engine); Computed tomography angiography; Tomography; Perfusion; Occlusion; Collateral circulation; Modified Rankin Scale; Nuclear medicine; Internal medicine; Ischemia; Ischemic stroke","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":[0.0005563844,0.0003084516,0.0003004507,0.0006318489,0.000238139,0.0003836599,0.0002129241,0.0003656222,0.0008120524],"category_scores_gemma":[0.004335905,0.0001847863,0.0003031858,0.0007135328,0.0003195483,0.0004468072,0.0002839488,0.0003888112,0.0002196014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581485,"about_ca_system_score_gemma":0.0002386898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837518,"about_ca_topic_score_gemma":0.00304931,"domain_scores_codex":[0.999667,0.0001254175,0.00004600325,0.00005551952,0.00006109372,0.00004492182],"domain_scores_gemma":[0.9972716,0.0008290418,0.001373897,0.0001590162,0.0001336083,0.0002327685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355563,0.00001544074,0.998995,0.000002775314,0.0000139312,0.00006543125,0.00002084034,0.00004405651,0.000103857,0.000004366781,0.00001950703,0.0005792081],"study_design_scores_gemma":[0.000003044189,0.00007021944,0.9993197,0.000001421486,0.00001052393,0.0002088854,0.00003631666,0.0002625932,0.00003995188,0.00002015258,0.00002492813,0.000002348955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996576,0.00006860842,0.00008164671,0.00001412113,0.000001261784,0.000003270584,0.00008052246,0.00000219341,0.0000906873],"genre_scores_gemma":[0.9996363,0.00004936048,0.00006328776,0.000005456852,0.000006292639,0.000003901197,0.0001892677,0.00000104525,0.00004502221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001837518,"threshold_uncertainty_score":0.003653586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370590153454823,"score_gpt":0.2745466707283734,"score_spread":0.2608407691938252,"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."}}