{"id":"W2883863572","doi":"10.2196/10426","title":"Clinically Excellent Use of the Electronic Health Record: Review","year":2018,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic health record; Health records; Medicine; Computer science; Political science; Health care; Law","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":[0.01046288,0.0008473772,0.002794557,0.01027906,0.0007832204,0.003319989,0.002675849,0.002261953,0.003761272],"category_scores_gemma":[0.06831054,0.0007597111,0.002218259,0.0140037,0.001523794,0.004358631,0.001684078,0.00119119,0.0006682631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003425298,"about_ca_system_score_gemma":0.01169423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004853973,"about_ca_topic_score_gemma":0.009699184,"domain_scores_codex":[0.9850476,0.00465639,0.005327455,0.0009382962,0.003688025,0.0003422704],"domain_scores_gemma":[0.9071916,0.06590001,0.01346759,0.001159019,0.01146401,0.0008176934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001020924,0.00003264947,0.00097999,0.7005531,0.001133031,0.0002005533,0.0004929365,0.0000862591,0.000156002,0.0007483144,0.01737496,0.2781401],"study_design_scores_gemma":[0.00006197681,0.0001514213,0.004309963,0.856017,0.004942656,0.001411556,0.0007855874,0.0000692461,0.0002121758,0.0004543014,0.131543,0.00004104465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002855473,0.9982443,0.00008465786,0.0004250473,0.0002318496,0.00006141798,0.0000688461,0.000005606772,0.0005927453],"genre_scores_gemma":[0.004006374,0.9948907,0.0002545727,0.0004405705,0.0001785486,0.00007709989,0.00007590471,0.000003196814,0.00007303856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01046288,"threshold_uncertainty_score":0.05533367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3339914206060428,"score_gpt":0.5639110844488112,"score_spread":0.2299196638427684,"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."}}