{"id":"W2942630207","doi":"10.1017/cem.2019.296","title":"P105: Charting in the electronic medical record: Perspectives of Emergency Medicine residents","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Preceptor; Medicine; Medical education; Curriculum; Focus group; Session (web analytics); Documentation; Coding (social sciences); Family medicine; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01385304,0.0003472026,0.000302141,0.0008852881,0.009995562,0.00897471,0.002022677,0.01056813,0.01529325],"category_scores_gemma":[0.05702692,0.0004567219,0.0008447169,0.001660699,0.004073228,0.008332578,0.005340317,0.01122558,0.001722835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003227472,"about_ca_system_score_gemma":0.009808404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160553,"about_ca_topic_score_gemma":0.03501691,"domain_scores_codex":[0.985662,0.008298799,0.0006047486,0.0006929371,0.002912753,0.001828677],"domain_scores_gemma":[0.9421434,0.02817323,0.005511494,0.001306937,0.01162335,0.01124168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001643837,0.0006345196,0.06230503,0.0008020077,0.00005991865,0.0108575,0.1401286,0.0002044834,0.000796215,0.008608153,0.6200442,0.155395],"study_design_scores_gemma":[0.00005688631,0.0006031531,0.04847226,0.002909792,0.00007233328,0.0119618,0.5222592,0.0004541919,0.0005899654,0.005058521,0.4074138,0.0001480203],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1052606,0.003840579,0.0007445114,0.8563553,0.005427577,0.00004645938,0.0002404366,0.00003159402,0.02805299],"genre_scores_gemma":[0.5803177,0.01068173,0.002194297,0.377213,0.01302657,0.00007801539,0.0002148991,0.0001384815,0.01613528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0160553,"threshold_uncertainty_score":0.07326275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198095229497816,"score_gpt":0.5249575461946633,"score_spread":0.3268623166968473,"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."}}