{"id":"W2959410487","doi":"10.1177/1833358319855031","title":"A qualitative evaluation of clinically coded data quality from health information manager perspectives","year":2019,"lang":"en","type":"article","venue":"Health Information Management Journal","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"O'Brien Institute for Public Health, University of Calgary; University of Calgary","keywords":"Documentation; Coding (social sciences); Staffing; Health care; Quality management; Data quality; Information quality; Medicine; Data collection; Nursing; Knowledge management; Information system; Operations management; Computer science; Management system; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06692522,0.000555156,0.000606371,0.003124822,0.009927969,0.005385526,0.001997224,0.00133849,0.003386376],"category_scores_gemma":[0.07519171,0.0005131361,0.0004501641,0.003149111,0.01091228,0.002440158,0.005920859,0.001829074,0.0003258295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02715944,"about_ca_system_score_gemma":0.02889212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04302502,"about_ca_topic_score_gemma":0.06542589,"domain_scores_codex":[0.9303655,0.0563613,0.001996189,0.001556132,0.006010082,0.003710751],"domain_scores_gemma":[0.8305025,0.1250363,0.008284642,0.002843962,0.02737297,0.005959566],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000770636,0.00004645157,0.003876341,0.0003267863,0.00000449603,0.0002552596,0.9845228,0.00005915194,0.00118309,0.001181619,0.0008186321,0.007648336],"study_design_scores_gemma":[0.00002469566,0.0001241242,0.003601745,0.0003354883,0.000008896458,0.0001327154,0.9822549,0.0002460751,0.001189007,0.0004466651,0.01161324,0.00002251879],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953859,0.0005369139,0.01939519,0.006132343,0.0001192586,0.0020534,0.000939222,0.00009633334,0.01686826],"genre_scores_gemma":[0.9799467,0.0004571698,0.01248969,0.00120661,0.00003432084,0.001873666,0.0002302568,0.00004908878,0.003712469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9330748,"threshold_uncertainty_score":0.3539386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5785466430685008,"score_gpt":0.6302944427782715,"score_spread":0.05174779970977073,"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."}}