{"id":"W4280490949","doi":"10.2196/32829","title":"A Novel, Combined Student and Preceptor Professional Development Session for Optimizing Feedback: Protocol for a Multimethod, Multisite, and Multiyear Intervention","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; NOSM University","funders":"","keywords":"Session (web analytics); Preceptor; Medical education; Coaching; Professional development; Intervention (counseling); Psychology; Protocol (science); Peer feedback; Faculty development; Medicine; Computer science; Nursing; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.028325,0.002988887,0.002874685,0.001708953,0.004390796,0.00142086,0.003162184,0.003558745,0.0385454],"category_scores_gemma":[0.02541453,0.002194896,0.002017192,0.00105585,0.001355235,0.001627118,0.003791094,0.004380061,0.009436794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003114056,"about_ca_system_score_gemma":0.01372504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001582553,"about_ca_topic_score_gemma":0.00294053,"domain_scores_codex":[0.9806512,0.01066865,0.002207312,0.00232408,0.002329933,0.001818732],"domain_scores_gemma":[0.987092,0.003505164,0.001425302,0.002581544,0.003494044,0.001901952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.05818453,0.105247,0.004179412,0.01518052,0.0003822833,0.0007072614,0.007024209,0.006212443,0.01711437,0.004684229,0.07739718,0.7036866],"study_design_scores_gemma":[0.2229055,0.1901017,0.06089323,0.01074387,0.0008450657,0.001317951,0.005598818,0.02060213,0.02647126,0.01051457,0.4484902,0.00151574],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.009488177,0.0001437996,0.01934816,0.000251573,0.0002348589,0.9672423,0.0006618151,0.0004555803,0.002173792],"genre_scores_gemma":[0.003873413,0.00008296008,0.02285053,0.0001130424,0.00002592372,0.9722569,0.000128167,0.00001624113,0.0006529154],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0385454,"threshold_uncertainty_score":0.1497988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2552134192909978,"score_gpt":0.6256908476362703,"score_spread":0.3704774283452724,"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."}}