{"id":"W2895871679","doi":"10.2196/11320","title":"Figure Correction: Health Information Technology in Healthcare Quality and Patient Safety: Literature Review","year":2018,"lang":"en","type":"erratum","venue":"JMIR Medical Informatics","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patient safety; Health care; Health information technology; Quality (philosophy); Medicine; Health care quality; Medical emergency; Computer science; Medical physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003579419,0.0005801392,0.00232914,0.00107739,0.0002396108,0.00007411156,0.0002717811,0.003235268,0.0002418915],"category_scores_gemma":[0.00225397,0.0004561045,0.0001475668,0.00199809,0.0002382413,0.0005846039,0.0001987632,0.005942024,0.0001354746],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133899,"about_ca_system_score_gemma":0.01149924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008996659,"about_ca_topic_score_gemma":0.0004160811,"domain_scores_codex":[0.9908613,0.000497805,0.005262483,0.0003022116,0.002059461,0.00101677],"domain_scores_gemma":[0.9942217,0.0001167363,0.00198355,0.0009239169,0.0010438,0.001710279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003289737,0.00004298568,0.0001498703,0.08250149,0.00001746438,0.00001364897,0.003517649,8.014106e-9,1.787194e-9,0.0005005092,0.6451865,0.2680369],"study_design_scores_gemma":[0.0007731285,0.001131987,0.001132739,0.1147456,0.000009675756,0.0008180797,0.001278849,0.0002123685,6.2035e-8,0.00009208965,0.8795091,0.0002963501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0001637087,0.1768616,0.0001761267,0.7589983,0.02652667,0.008927778,0.0004817347,0.0005101972,0.02735384],"genre_scores_gemma":[0.0005533109,0.5553315,0.001016386,0.42037,0.002645429,0.0008129064,0.0115849,0.00008765712,0.007597925],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3784699,"threshold_uncertainty_score":0.9997891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303006053535436,"score_gpt":0.3834828593556863,"score_spread":0.360452798820332,"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."}}