{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06026611,0.001080587,0.001424569,0.003970399,0.01776381,0.009281899,0.005234984,0.002450975,0.002216565],"category_scores_gemma":[0.1382857,0.001009065,0.001298662,0.006493866,0.008704169,0.004474531,0.005414947,0.004306602,0.0002703881],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1742716,"about_ca_system_score_gemma":0.2263442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947106,"about_ca_topic_score_gemma":0.993688,"domain_scores_codex":[0.9466776,0.01339707,0.003979214,0.004032545,0.02541897,0.006494609],"domain_scores_gemma":[0.9049762,0.02549287,0.008835049,0.002683037,0.05267252,0.005340294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002081173,0.0002538315,0.51566,0.002503431,0.0002853109,0.0005692989,0.1882381,0.00116481,0.000927899,0.01069151,0.04111638,0.2383813],"study_design_scores_gemma":[0.00005389684,0.0002195229,0.7913489,0.004417631,0.0002431811,0.0003569568,0.142708,0.005023656,0.0007912559,0.004250471,0.05012557,0.0004609973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8100609,0.0227805,0.0123156,0.1112163,0.001429411,0.001142767,0.001941334,0.0002473847,0.03886595],"genre_scores_gemma":[0.9752779,0.004603585,0.01001469,0.007157905,0.00008964232,0.0003891567,0.0004346922,0.00006541838,0.001967024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742716,"threshold_uncertainty_score":0.9577279,"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."}}