{"id":"W4293168736","doi":"10.3389/fneur.2022.928773","title":"Unequal Efficacy of Different Infarct Location in Predicting Futile Recanalization of Patients With Acute Ischemic Stroke","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Logistic regression; Internal medicine; Cardiology; Univariate analysis; Internal capsule; Infarction; Occlusion; Prospective cohort study; Multivariate analysis; Surgery; Radiology; White matter; Myocardial infarction; Magnetic resonance imaging","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":[0.00404497,0.0005472669,0.0006698954,0.000962665,0.0002667148,0.0007701431,0.0003780734,0.0005466013,0.001005919],"category_scores_gemma":[0.008314497,0.0001732756,0.001347002,0.0006766095,0.0004817004,0.0007695588,0.0004520085,0.0004751977,0.0001717498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001696904,"about_ca_system_score_gemma":0.0003170611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004898436,"about_ca_topic_score_gemma":0.0008295426,"domain_scores_codex":[0.9979157,0.001082557,0.000309799,0.0003013906,0.0002265485,0.0001640337],"domain_scores_gemma":[0.9941711,0.002887605,0.001970062,0.0003340168,0.0002781552,0.0003590487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003483624,0.00008381545,0.9896995,0.00004470251,0.0004787738,0.00006631214,0.0000336126,0.0003680326,0.0001946145,0.00003131142,0.0000612924,0.005454402],"study_design_scores_gemma":[0.0002159329,0.002160966,0.9924756,0.00003371,0.001014393,0.0002927702,0.0001273946,0.002729725,0.0004144272,0.0001819038,0.0003330593,0.00002010219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996699,0.001997263,0.0004831652,0.0000899355,0.00002356214,0.00002985856,0.0001690796,0.000006290577,0.0005017417],"genre_scores_gemma":[0.9994197,0.0001914277,0.0001350284,0.000015347,0.00003509701,0.00001351646,0.0001296694,0.000001281703,0.00005885177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00404497,"threshold_uncertainty_score":0.02139205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005243224336941027,"score_gpt":0.2132573412590894,"score_spread":0.2080141169221484,"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."}}