{"id":"W4415418768","doi":"10.63332/joph.v4i3.3576","title":"Causes and Consequences of Medical Coding Errors: A Systematic Review of the Literature","year":2025,"lang":"","type":"review","venue":"Journal of Posthumanism","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Flowchart; Coding (social sciences); Medical classification; Health care; Systematic review; Quality (philosophy); Medical literature; Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02058493,0.0004775906,0.00589356,0.000501968,0.0005991348,0.00003170002,0.001393727,0.001175481,0.0008022502],"category_scores_gemma":[0.02753165,0.0002382503,0.0009032319,0.0007302255,0.000666152,0.0002293376,0.0003409537,0.004199693,0.000006319711],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000209689,"about_ca_system_score_gemma":0.009176036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002339891,"about_ca_topic_score_gemma":0.000009580498,"domain_scores_codex":[0.9806706,0.005634352,0.01022679,0.000197022,0.002834636,0.0004365447],"domain_scores_gemma":[0.9747447,0.004660033,0.01752339,0.0006043831,0.002004813,0.0004626634],"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":[0.00001161627,0.00004566065,0.000007599496,0.9817356,0.0002425161,0.00001776804,0.005462037,2.652971e-8,7.556704e-7,0.007935235,0.003221108,0.001320099],"study_design_scores_gemma":[0.0004138582,0.0002637357,0.00001103533,0.9837162,0.003114347,0.0006234673,0.001286632,0.000004952866,0.000002520123,0.0003253381,0.01008587,0.0001520405],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006304876,0.983591,0.00004589658,0.01044467,0.002211289,0.003020021,0.00009637282,0.000005120274,0.0005225772],"genre_scores_gemma":[0.0009865067,0.9934846,0.00007173121,0.004582267,0.0003045257,0.00002969618,0.000007440045,0.00001774995,0.0005155414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009893542,"threshold_uncertainty_score":0.9980977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1789053118581536,"score_gpt":0.4845372129118617,"score_spread":0.3056319010537081,"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."}}