{"id":"W3165557461","doi":"10.1136/annrheumdis-2021-eular.2236","title":"POS0051 THE IMPACT OF COVID-19 ON RHEUMATOLOGY TRAINING: RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE TRAINEE SURVEY","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Rheumatology; Internal medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Family medicine; Likert scale; Health care; Disease; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.002597201,0.0002398501,0.0002726571,0.001193578,0.0005029639,0.0008978341,0.000549286,0.0008472387,0.007660682],"category_scores_gemma":[0.01171184,0.000225104,0.0005307523,0.002297337,0.0002646783,0.001115947,0.002454991,0.001110743,0.001511793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009870045,"about_ca_system_score_gemma":0.002703893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02860662,"about_ca_topic_score_gemma":0.04280054,"domain_scores_codex":[0.9970179,0.0007574722,0.0003345608,0.0001699023,0.0008264459,0.0008938363],"domain_scores_gemma":[0.9881806,0.001494512,0.00471741,0.0003055341,0.001465893,0.003835999],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170309,0.0001948752,0.9748332,0.0001166113,0.00006690568,0.00002650843,0.0001625063,0.0001088494,0.00007535066,0.0001108271,0.01608179,0.008105573],"study_design_scores_gemma":[0.00001180307,0.00005028002,0.9963406,0.00004387492,0.00001143781,0.00001389776,0.0003528943,0.00004075673,0.00001889073,0.00001952177,0.003092099,0.000003868448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782535,0.001090587,0.0003075299,0.009557646,0.0003253074,0.0002366528,0.08181203,0.00005966552,0.02835713],"genre_scores_gemma":[0.9605829,0.0008647405,0.0003260263,0.003802317,0.0002418664,0.0003377819,0.02815765,0.00003051694,0.005656288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974028,"threshold_uncertainty_score":0.05688024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.260811497780195,"score_gpt":0.4668149828381283,"score_spread":0.2060034850579333,"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."}}