{"id":"W3186766263","doi":"10.1093/pm/pnab211","title":"Adapting Pain and Opioid Prescribing Continuing Education to the Virtual Environment: Optimizing Program Factors While Navigating Context","year":2021,"lang":"en","type":"article","venue":"Pain Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Bridgepoint Active Healthcare; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Department of Family and Community Medicine, University of Toronto; University of Toronto","keywords":"Context (archaeology); Continuing education; Opioid; Medicine; Pain management; Medical education; Nursing; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005562874,0.0002337692,0.0003602207,0.00009420197,0.0003162065,0.00005035898,0.0001245384,0.0001056614,0.0002158895],"category_scores_gemma":[0.01347776,0.0001702751,0.0000419257,0.0005189999,0.0002021685,0.0001045147,0.00008449396,0.0006442674,0.000007163401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001764728,"about_ca_system_score_gemma":0.0001368292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235982,"about_ca_topic_score_gemma":0.000009893384,"domain_scores_codex":[0.9974368,0.0005336772,0.0006155885,0.0004573973,0.0005714002,0.0003851997],"domain_scores_gemma":[0.9981194,0.0008386388,0.0001945031,0.0004167445,0.0002414268,0.0001892982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000130317,0.0001174601,0.01214049,0.0001208938,0.00003154618,0.000004796792,0.01972027,0.00002600677,0.003556839,0.0002560614,0.004128955,0.9598836],"study_design_scores_gemma":[0.002970079,0.002662125,0.03087716,0.02002523,0.0004516912,0.000151844,0.6261984,0.04560412,0.003713072,0.0001802015,0.266279,0.0008870719],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395049,0.002535905,0.02327913,0.0320939,0.0005880641,0.001396839,0.000001425063,0.0001378475,0.0004619706],"genre_scores_gemma":[0.96488,0.00008820745,0.02064082,0.01232952,0.001160401,0.0002534841,0.000228777,0.00004331804,0.0003754946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9589966,"threshold_uncertainty_score":0.9948322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950765972471425,"score_gpt":0.296475449439503,"score_spread":0.2769677897147887,"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."}}