{"id":"W2804980671","doi":"10.1186/s12913-018-3089-7","title":"How well does the minimum data set measure healthcare use? a validation study","year":2018,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo; University of Manitoba; George & Fay Yee Centre for Healthcare Innovation; Manitoba Health","funders":"Research Manitoba","keywords":"Health informatics; Nursing research; Health administration; Medicine; Minimum Data Set; Measure (data warehouse); Health care; Public health; Health services research; Data set; Nursing; Data mining; Statistics; Computer science; Nursing homes","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":[0.1121817,0.0009907448,0.001094523,0.002329354,0.001178855,0.002259293,0.003028431,0.001819525,0.0009438207],"category_scores_gemma":[0.2701842,0.0007594415,0.002322912,0.002591158,0.002352079,0.002640593,0.002314478,0.001559092,0.0004895497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112306,"about_ca_system_score_gemma":0.002877559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154668,"about_ca_topic_score_gemma":0.009952752,"domain_scores_codex":[0.9161332,0.05989543,0.00593823,0.005555081,0.01114286,0.001335101],"domain_scores_gemma":[0.6249598,0.2365762,0.03738532,0.05106699,0.04675367,0.003257947],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004952248,0.0002112857,0.9880633,0.0001251831,0.0007405175,0.00002090456,0.0006223755,0.0007961795,0.0001486765,0.0002311783,0.0006925354,0.007852548],"study_design_scores_gemma":[0.0001887392,0.001335761,0.9774189,0.0004909041,0.0004269271,0.0002362467,0.0007578524,0.01349715,0.0008171068,0.0008340818,0.003933052,0.00006324619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778935,0.0009628569,0.01468328,0.0004372592,0.0001375869,0.0007093885,0.002540027,0.00007527514,0.002560837],"genre_scores_gemma":[0.9892847,0.0001520413,0.006728963,0.0001790429,0.00004293641,0.0005138798,0.002905177,0.00003866616,0.000154636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8878183,"threshold_uncertainty_score":0.5932808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3448521368942352,"score_gpt":0.549944970062697,"score_spread":0.2050928331684618,"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."}}