{"id":"W3113250099","doi":"10.1001/jamainternmed.2020.7071","title":"Assessment of Electronic Health Record Use Between US and Non-US Health Systems","year":2020,"lang":"en","type":"article","venue":"JAMA Internal Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Documentation; Health information exchange; Electronic health record; Family medicine; Health care; Sample (material); MEDLINE; Hospital medicine; Health information","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006487372,0.0001916265,0.000258339,0.002928657,0.0004304586,0.001275134,0.0006480427,0.0003617476,0.001514452],"category_scores_gemma":[0.0365529,0.0002385442,0.000465841,0.005413974,0.0004292312,0.001381895,0.001567973,0.0003918908,0.0002629942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335403,"about_ca_system_score_gemma":0.001460122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477333,"about_ca_topic_score_gemma":0.02504176,"domain_scores_codex":[0.989826,0.003437259,0.002599891,0.000997758,0.002680766,0.0004582575],"domain_scores_gemma":[0.9559747,0.01155442,0.02478324,0.001839391,0.004731808,0.001116539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003171982,0.00002157844,0.9930923,0.00005595009,0.00006174199,0.00001204486,0.0007210083,0.00003972912,0.00007587814,0.00005100605,0.0003018424,0.005535266],"study_design_scores_gemma":[0.000002535138,0.000046228,0.9974657,0.00005798406,0.00001371126,0.00006395643,0.001280611,0.0001971733,0.00008335774,0.00002785044,0.0007557563,0.000005009049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925579,0.0007953182,0.0007506601,0.0006148252,0.00001669767,0.00005528453,0.003186862,0.0000226413,0.00199985],"genre_scores_gemma":[0.9963965,0.0003049824,0.001073123,0.0001522884,0.00001894972,0.00006031611,0.001771489,0.000008281519,0.0002140199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01477333,"threshold_uncertainty_score":0.03430891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08056313288536948,"score_gpt":0.4593457621921659,"score_spread":0.3787826293067965,"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."}}