{"id":"W2912373895","doi":"10.1186/s13643-019-0971-2","title":"Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review","year":2019,"lang":"en","type":"review","venue":"Systematic Reviews","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Documentation; Medicine; Psychological intervention; CINAHL; Grey literature; MEDLINE; Data extraction; Protocol (science); Health care; Systematic review; Nursing; Alternative medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow"],"category_scores_codex":[0.2027782,0.001292582,0.01800777,0.0005312808,0.000696164,0.00005436563,0.001530462,0.0004994599,0.0001482723],"category_scores_gemma":[0.0314409,0.0006600937,0.003205143,0.001574199,0.00003244116,0.000216839,0.000221812,0.001548551,0.001592816],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00945466,"about_ca_system_score_gemma":0.01549275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008962,"about_ca_topic_score_gemma":0.0006690781,"domain_scores_codex":[0.8588606,0.1036295,0.03142917,0.001417035,0.002815435,0.001848289],"domain_scores_gemma":[0.9442382,0.006010382,0.04330007,0.003704753,0.002418872,0.000327714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000005874179,0.00007993737,2.513587e-7,0.9635743,0.0004182782,4.664504e-8,0.000957246,4.341971e-7,5.856827e-8,0.0006811235,0.00873385,0.02554863],"study_design_scores_gemma":[0.0006164513,0.0008904259,3.094863e-8,0.7676878,0.008190161,0.00001030767,0.0003140642,0.00009459471,3.555805e-8,0.0001106916,0.2217168,0.0003686251],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"protocol","genre_scores_codex":[2.141697e-8,0.4996439,0.001203537,0.0002189856,0.0006640386,0.4980823,0.00004510038,0.00003930501,0.0001028503],"genre_scores_gemma":[1.720117e-7,0.4470387,0.0002286552,0.0005658735,0.0001419348,0.5509111,0.00008114318,0.0001218309,0.0009105974],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.212983,"threshold_uncertainty_score":0.9999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3147650877311988,"score_gpt":0.6089188821987017,"score_spread":0.2941537944675029,"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."}}