{"id":"W4281261535","doi":"10.1177/14604582221093498","title":"Perspectives of undergraduate and graduate medical trainees on documenting clinical notes: Implications for medical education and informatics","year":2022,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Ottawa","funders":"","keywords":"Preceptor; Medical education; Informatics; Thematic analysis; Documentation; Focus group; Health informatics; Desk; Medicine; Psychology; Qualitative research; Computer science; Nursing; Sociology; Political 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":[0.01765276,0.0003642824,0.0004074731,0.0008420344,0.004777723,0.005417339,0.000891805,0.002148951,0.002554834],"category_scores_gemma":[0.03269629,0.000453648,0.0004679372,0.000835538,0.003430447,0.002841357,0.00561611,0.00340467,0.0005616423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318364,"about_ca_system_score_gemma":0.004661002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499502,"about_ca_topic_score_gemma":0.004808684,"domain_scores_codex":[0.9871919,0.008587425,0.0004603789,0.000363981,0.00144496,0.001951401],"domain_scores_gemma":[0.9498387,0.02907432,0.003234083,0.0007498379,0.00499504,0.01210809],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000134688,0.0002117743,0.02503689,0.0003384254,0.00001975501,0.001369091,0.9261678,0.00009699676,0.002286706,0.0008791102,0.005421914,0.03803702],"study_design_scores_gemma":[0.0000143364,0.0003557341,0.0125665,0.0003156406,0.00001182283,0.00110643,0.9701231,0.00009017334,0.0005632723,0.0003696475,0.01444844,0.00003488122],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684052,0.001903458,0.001264917,0.01988618,0.0002034128,0.00009588944,0.0001255568,0.00003081434,0.008084428],"genre_scores_gemma":[0.9881266,0.002265488,0.001473833,0.004806341,0.000133153,0.00008893905,0.00005518382,0.00001753424,0.003032988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9823472,"threshold_uncertainty_score":0.0933578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1316557713660803,"score_gpt":0.5337881618381807,"score_spread":0.4021323904721004,"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."}}