{"id":"W3021773640","doi":"10.1002/mus.26915","title":"Reply: The Optimal Management of Electrodiagnostic Studies during <scp>COVID</scp>‐19 Outbreak","year":2020,"lang":"en","type":"letter","venue":"Muscle & Nerve","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Pandemic; Staffing; Contingency plan; Coronavirus disease 2019 (COVID-19); Diagnostic test; Medical emergency; Medicine; Outbreak; Contingency; Resource (disambiguation); Intensive care medicine; Operations research; Psychology; Disease; Computer science; Emergency medicine; Computer security; Nursing; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005045001,0.0007697479,0.001367033,0.0002632014,0.000256145,0.00006998573,0.0008397762,0.0003457754,0.00004208246],"category_scores_gemma":[0.00329831,0.0005668037,0.0006108254,0.0005148744,0.000299267,0.0001080241,0.0008544514,0.002008263,0.0001320075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006313201,"about_ca_system_score_gemma":0.0002659156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001721253,"about_ca_topic_score_gemma":0.00000538486,"domain_scores_codex":[0.9955066,0.000334801,0.0008307148,0.001144412,0.001203497,0.0009799729],"domain_scores_gemma":[0.9934392,0.003796703,0.0005931102,0.001723173,0.00018797,0.0002598489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006016131,0.000079711,0.001185708,0.01371797,0.002231851,0.01642249,0.00147967,0.0001020248,0.0004175504,0.00003921142,0.9638494,0.0004142043],"study_design_scores_gemma":[0.00357567,0.001048008,0.02107813,0.002570702,0.003577919,0.0002083612,0.0007716801,0.0000608286,0.0009697343,0.0002461689,0.9654737,0.0004191566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1379436,0.008752042,0.00009546674,0.8453192,0.0009462409,0.004064088,0.00008567895,0.0005195717,0.002274151],"genre_scores_gemma":[0.07296603,0.001600144,0.0009377692,0.9101973,0.005584163,0.000729842,0.0002971553,0.0003118266,0.007375775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06497758,"threshold_uncertainty_score":0.9996783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023899492455305,"score_gpt":0.2919477808247909,"score_spread":0.268048288369486,"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."}}