{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006813892,0.002505867,0.002137675,0.006564822,0.003497828,0.005503323,0.005179435,0.009073406,0.1150726],"category_scores_gemma":[0.1281844,0.001345923,0.003337784,0.004983528,0.002818944,0.00367149,0.003009229,0.0103394,0.03752466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005005589,"about_ca_system_score_gemma":0.009702166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02632822,"about_ca_topic_score_gemma":0.02710543,"domain_scores_codex":[0.9893208,0.002148215,0.001901819,0.001050654,0.004806519,0.0007720728],"domain_scores_gemma":[0.9170995,0.02521886,0.004432012,0.002698315,0.04865107,0.001900291],"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":[0.00001909393,0.000002377611,0.00003800701,0.0002534684,0.00001242227,0.0001114121,0.00002223122,0.00001918625,0.00001778207,0.0003768876,0.9960626,0.003064566],"study_design_scores_gemma":[0.0000851575,0.0000229953,0.0005187475,0.002521214,0.0001046589,0.0007856486,0.0001611871,0.0002169351,0.0002749683,0.001613833,0.9936392,0.00005550152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008324917,0.001840433,0.0005647498,0.08575527,0.907181,0.0000504436,0.001722365,0.0004054222,0.002397024],"genre_scores_gemma":[0.01311668,0.02294637,0.006367913,0.2143628,0.6097502,0.0004951315,0.005186665,0.002594057,0.1251801],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1150726,"threshold_uncertainty_score":0.3849561,"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."}}