{"id":"W4283388142","doi":"10.1017/cjn.2022.131","title":"P.029 Assessing disability in MS during the COVID-19 pandemic: correlation between PDDS and EDSS scores obtained before and after virtual assessments","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging","funders":"","keywords":"Medicine; Expanded Disability Status Scale; Demographics; Multiple sclerosis; Coronavirus disease 2019 (COVID-19); Physical therapy; Psychiatry; Disease; Internal medicine; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947133,0.0002238304,0.0001623265,0.0006866424,0.0005582256,0.0007717777,0.0004809695,0.0003326807,0.01485548],"category_scores_gemma":[0.01286217,0.0001493229,0.0002378738,0.001170277,0.0005927376,0.0004635716,0.0006351398,0.0007179038,0.002047667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065519,"about_ca_system_score_gemma":0.001345921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05177119,"about_ca_topic_score_gemma":0.04055652,"domain_scores_codex":[0.9985447,0.0004993203,0.0001479902,0.0001661528,0.0004586222,0.0001832047],"domain_scores_gemma":[0.9882572,0.004326635,0.002973251,0.00038172,0.0029014,0.001159677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008633183,0.0000275781,0.994559,0.00001420257,0.00002242155,0.00003906399,0.00007502049,0.00005598562,0.00005891824,0.0000251407,0.001055278,0.003980996],"study_design_scores_gemma":[0.00000641246,0.00009711977,0.9981462,0.00002088719,0.00001147157,0.000129335,0.000384476,0.0003524185,0.00007812676,0.0000332711,0.0007363279,0.000004018713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835263,0.0003980158,0.0004927302,0.0008910765,0.0000778523,0.00009305277,0.003446271,0.00003381052,0.0110409],"genre_scores_gemma":[0.9978132,0.00007416418,0.0003488477,0.0001022054,0.00001719569,0.000033963,0.0007328697,0.000007631358,0.0008698263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05177119,"threshold_uncertainty_score":0.1029397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360175145295614,"score_gpt":0.3352118620032374,"score_spread":0.299194347473676,"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."}}