{"id":"W2770470819","doi":"10.1503/cmaj.109-5522","title":"Electronic health records contributing to physician burnout","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Well-being Studies","field":"Psychology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Burnout; Health records; Medicine; Electronic health record; Health care; Family medicine; Nursing; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009865195,0.0002440973,0.000308095,0.002611422,0.003105279,0.002984086,0.0006023087,0.001323332,0.01560946],"category_scores_gemma":[0.07865555,0.0004081664,0.0007735957,0.003961576,0.0009357437,0.001334808,0.002799919,0.003035286,0.001342016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003032455,"about_ca_system_score_gemma":0.007433761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02135994,"about_ca_topic_score_gemma":0.02258556,"domain_scores_codex":[0.9823162,0.009196593,0.001626187,0.0007404756,0.00430169,0.001818848],"domain_scores_gemma":[0.8759199,0.0592077,0.03293457,0.004860011,0.01972211,0.007355739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008006569,0.0007411644,0.6751792,0.001069541,0.0004129273,0.001542586,0.008474339,0.0002651295,0.0004250756,0.008186382,0.08159748,0.2213055],"study_design_scores_gemma":[0.0002487713,0.0002991819,0.8439635,0.006298224,0.0006880602,0.004559733,0.01855868,0.001912178,0.0009393007,0.007831138,0.1146022,0.00009905228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6321614,0.03203135,0.003093684,0.2644799,0.001825253,0.0001765326,0.001969418,0.000140007,0.06412233],"genre_scores_gemma":[0.9562351,0.01519978,0.001970938,0.01898521,0.001864889,0.00004793463,0.000817444,0.00006671625,0.004811926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02135994,"threshold_uncertainty_score":0.05221879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147839894771478,"score_gpt":0.3381861858966255,"score_spread":0.3267077869489107,"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."}}