{"id":"W1959031681","doi":"10.1136/bmjopen-2014-006858","title":"A prediction model to estimate completeness of electronic physician claims databases","year":2015,"lang":"en","type":"article","venue":"BMJ Open","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Winnipeg Regional Health Authority; Manitoba Health; Dalhousie University; Institute for Clinical Evaluative Sciences; University of Calgary; University of Manitoba","funders":"Canadian Institutes of Health Research; Manitoba Health Research Council","keywords":"Medicine; Specialty; Cohort; Retrospective cohort study; Family medicine; Emergency medicine; Database; Internal medicine","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":[0.03148561,0.001693137,0.002150171,0.004059363,0.0007895601,0.002494307,0.003503712,0.00190269,0.003701161],"category_scores_gemma":[0.07745824,0.00104169,0.002547914,0.00284081,0.001368369,0.002446231,0.00219087,0.002776944,0.001015943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991463,"about_ca_system_score_gemma":0.002358865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071271,"about_ca_topic_score_gemma":0.007315042,"domain_scores_codex":[0.985469,0.009382556,0.0008090016,0.002515842,0.001158349,0.000665285],"domain_scores_gemma":[0.895519,0.09027988,0.006316524,0.002472207,0.00460696,0.0008054544],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009157661,0.0004687439,0.4080117,0.0003581264,0.001457466,0.0004694431,0.0006807467,0.4897994,0.0003277541,0.01160754,0.005158016,0.08074529],"study_design_scores_gemma":[0.00007376308,0.0001596685,0.01637303,0.00008918697,0.0001549183,0.0001547342,0.0001032874,0.9762671,0.00009268009,0.005719202,0.0007807473,0.00003174883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3857367,0.001404627,0.5997481,0.002631361,0.000256309,0.0009708944,0.005122212,0.001300112,0.002829704],"genre_scores_gemma":[0.9081249,0.0005906886,0.0818011,0.0003252283,0.00017604,0.00125735,0.004825457,0.0001027665,0.002796514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9685144,"threshold_uncertainty_score":0.1665139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6945508574013042,"score_gpt":0.6077764307123401,"score_spread":0.08677442668896407,"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."}}