{"id":"W4310573112","doi":"10.1111/epi.17473","title":"The unforeseen future: Impacts of the COVID‐19 pandemic on home video‐<scp>EEG</scp> telemetry","year":2022,"lang":"en","type":"article","venue":"Epilepsia","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Pandemic; Telemetry; Attendance; Audit; Telemedicine; Coronavirus disease 2019 (COVID-19); Epilepsy; Medical emergency; Medicine; Health care; Business; Computer science; Telecommunications; Disease; Psychiatry; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003776891,0.0002648828,0.0002114789,0.0007074502,0.0007468534,0.002149251,0.0004774029,0.002057489,0.002601977],"category_scores_gemma":[0.009274232,0.0001050148,0.000429277,0.0005051108,0.001715127,0.003012627,0.001334277,0.002129399,0.0005095753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051438,"about_ca_system_score_gemma":0.002323256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243222,"about_ca_topic_score_gemma":0.008890062,"domain_scores_codex":[0.9980801,0.0007464748,0.0002044194,0.0001490469,0.000591263,0.0002287296],"domain_scores_gemma":[0.9931945,0.004027992,0.000710533,0.0001651367,0.001433776,0.0004680611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002121938,0.00009916862,0.03877784,0.003151983,0.0001025489,0.006603529,0.002552149,0.002721915,0.003372539,0.05396431,0.09896227,0.7894796],"study_design_scores_gemma":[0.00001775472,0.0004726204,0.07076228,0.009740395,0.0001680753,0.02082569,0.01173607,0.002939359,0.003307566,0.04328114,0.8365135,0.0002355972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05309227,0.4192959,0.00919231,0.4747916,0.006520926,0.00004342268,0.000592907,0.000226329,0.03624431],"genre_scores_gemma":[0.3814688,0.5282972,0.008244745,0.06924386,0.008581457,0.00005364242,0.0003533571,0.0001257473,0.00363113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005243222,"threshold_uncertainty_score":0.01997435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494466840823156,"score_gpt":0.238123753275324,"score_spread":0.2231790848670924,"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."}}