{"id":"W3013310257","doi":"10.1161/strokeaha.120.029838","title":"Protected Code Stroke","year":2020,"lang":"en","type":"article","venue":"Stroke","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Health Sciences Centre; University of Toronto; University of Calgary; Ontario Brain Institute; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Triage; Stroke (engine); Context (archaeology); Personal protective equipment; Health care; Pandemic; Intensive care medicine; Medical emergency; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009576217,0.000173004,0.0003112078,0.00006137513,0.0000552343,0.00002516538,0.00015435,0.0001028222,0.000405714],"category_scores_gemma":[0.001051852,0.000149778,0.0001284235,0.0001457107,0.0000639451,0.00007562287,0.00007499637,0.0003414768,0.0004747289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006187586,"about_ca_system_score_gemma":0.0001830498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002523292,"about_ca_topic_score_gemma":0.000007514,"domain_scores_codex":[0.9987302,0.00004995944,0.000198725,0.0003264288,0.0003796066,0.0003150113],"domain_scores_gemma":[0.9989637,0.0001261429,0.00006449589,0.0003304462,0.00007256849,0.0004427022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002204041,0.0002590189,0.1091245,0.001751574,0.0004753836,0.001175406,0.001250852,0.00003735985,0.8302973,0.0009827049,0.04093445,0.0115074],"study_design_scores_gemma":[0.02194574,0.006912287,0.1604755,0.000511343,0.000738939,0.0001870115,0.0003423814,0.004781438,0.2796523,0.000215169,0.5229429,0.001294927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202009,0.0002296428,0.002787682,0.05297737,0.000247623,0.00235482,0.0002132851,0.0008116732,0.02017695],"genre_scores_gemma":[0.9852772,0.000006718937,0.003255027,0.007297531,0.0005833933,0.00006406691,0.00002929218,0.00004154295,0.003445166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.550645,"threshold_uncertainty_score":0.610777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977390322861155,"score_gpt":0.2902439777451351,"score_spread":0.2704700745165236,"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."}}