{"id":"W4255942450","doi":"10.1111/ger.12467","title":"If we cannot measure it, we cannot improve it: Understanding measurement problems in routine oral/dental assessments in Canadian nursing homes—Part II","year":2020,"lang":"en","type":"article","venue":"Gerodontology","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Innovates - Health Solutions","keywords":"Medicine; Focus group; Nursing; Oral health; Dental care; Family medicine; Minimum Data Set; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001749568,0.000453353,0.0009592288,0.0006067573,0.000725845,0.00003016552,0.0003914214,0.0005940294,0.0003624521],"category_scores_gemma":[0.0003345575,0.0004711305,0.0001102487,0.0009844521,0.0001195605,0.0002036478,0.0001055241,0.001371335,0.0000578041],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0116297,"about_ca_system_score_gemma":0.00473932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4384254,"about_ca_topic_score_gemma":0.9698839,"domain_scores_codex":[0.994106,0.001039404,0.001188907,0.0008782264,0.0006597022,0.002127775],"domain_scores_gemma":[0.9981679,0.0001268256,0.000348178,0.000385988,0.0001979307,0.0007731395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007348359,0.0006379942,0.311674,0.0012696,0.0002765683,0.0004478836,0.1667376,0.0002771108,0.001953645,0.002173154,0.4976998,0.01611775],"study_design_scores_gemma":[0.02953383,0.003623937,0.1531074,0.01187224,0.0005609012,0.00009201551,0.4018375,0.002629554,0.0002053656,0.004169249,0.3881287,0.004239295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3172839,0.006054518,0.001287404,0.6140174,0.01763956,0.007111862,0.0003875784,0.0003830059,0.03583469],"genre_scores_gemma":[0.9965063,0.0001542923,0.0001295702,0.002015273,0.0004326474,0.000156866,0.00006216284,0.00006556118,0.0004773479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6792223,"threshold_uncertainty_score":0.999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1916553259632219,"score_gpt":0.4000083157972037,"score_spread":0.2083529898339818,"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."}}