{"id":"W3129786697","doi":"10.1111/medu.14450","title":"Publishing during COVID‐19: Lessons for health professions education research","year":2021,"lang":"en","type":"editorial","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Publishing; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health professions; Pandemic; Medical education; Coronavirus Infections; MEDLINE; Public relations; Political science; Sociology; Health care; Medicine; Library science; Virology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0563762,0.003816432,0.004867191,0.006197238,0.009815563,0.02798154,0.007250727,0.03391855,0.02451732],"category_scores_gemma":[0.1477416,0.002368848,0.004293919,0.004095986,0.006249768,0.01395289,0.004381706,0.04610205,0.01919944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009215185,"about_ca_system_score_gemma":0.02300317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006532138,"about_ca_topic_score_gemma":0.0183095,"domain_scores_codex":[0.9496239,0.009307707,0.007675282,0.002814991,0.02796179,0.002616327],"domain_scores_gemma":[0.7520042,0.1001439,0.0110044,0.006250484,0.0973981,0.03319889],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002293292,0.00000906369,0.00002262479,0.0001871028,0.00001485887,0.00005212646,0.0000309144,0.00001053819,0.0000162435,0.0003847163,0.9960837,0.003165159],"study_design_scores_gemma":[0.00007670078,0.00002259901,0.0001936958,0.0009691976,0.00004331065,0.0001078581,0.0001373416,0.00007219671,0.00007416694,0.001166819,0.9971009,0.00003510332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001875237,0.002467162,0.00006939944,0.08116953,0.9152956,0.00001287014,0.00002746156,0.0000370768,0.0009021661],"genre_scores_gemma":[0.0004237906,0.003640367,0.0002002593,0.1025166,0.8837764,0.00003796444,0.00004120176,0.0001237843,0.009239616],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9436238,"threshold_uncertainty_score":0.2981494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07578053195725312,"score_gpt":0.5482341750185138,"score_spread":0.4724536430612607,"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."}}