{"id":"W3214627594","doi":"10.1161/svin.121.000177","title":"Standardized Reporting of Workflow Metrics in Acute Ischemic Stroke Treatment: Why and How?","year":2021,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Workflow; Interquartile range; Medicine; Consistency (knowledge bases); Stroke (engine); Percentile; Computer science; Medical physics; Internal medicine; Database; Artificial intelligence; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2586289,0.001364877,0.001874852,0.006577372,0.001495034,0.00908381,0.004160487,0.001656673,0.001116586],"category_scores_gemma":[0.5238492,0.0006668303,0.001793888,0.01196399,0.003013368,0.008636353,0.004679914,0.003309345,0.0007928658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004705702,"about_ca_system_score_gemma":0.01734322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007869012,"about_ca_topic_score_gemma":0.004874321,"domain_scores_codex":[0.7306151,0.1673759,0.06677805,0.008302633,0.02470278,0.002225511],"domain_scores_gemma":[0.48687,0.2304059,0.09412153,0.06494913,0.1198891,0.003764407],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007139114,0.0002397527,0.1079478,0.007949626,0.001098805,0.0001477161,0.009711407,0.009592884,0.002002727,0.07669742,0.05871433,0.7251837],"study_design_scores_gemma":[0.000552411,0.002410801,0.2089007,0.03920044,0.001788448,0.0009951489,0.02169405,0.05938211,0.0186588,0.302883,0.3423249,0.001209341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06606294,0.03288921,0.7716827,0.08918423,0.00659065,0.003667635,0.01078227,0.002938501,0.01620196],"genre_scores_gemma":[0.4848666,0.01776416,0.4666129,0.009972121,0.002769086,0.007830945,0.008079309,0.0009022912,0.001202602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7413711,"threshold_uncertainty_score":0.9142426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058647262737755,"score_gpt":0.2810596317120559,"score_spread":0.2604731590846784,"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."}}