{"id":"W2989645410","doi":"10.1111/ger.12449","title":"If we cannot measure it, we cannot improve it: Understanding measurement problems in routine oral/dental assessments in Canadian nursing homes—Part I","year":2019,"lang":"en","type":"article","venue":"Gerodontology","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Health Solutions","keywords":"Medicine; Measure (data warehouse); Dental technology; Nursing; Dentistry; Data mining","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":[0.04257044,0.000916082,0.001199835,0.003641697,0.008000193,0.006187308,0.003762614,0.002004152,0.0009623757],"category_scores_gemma":[0.1450561,0.0007120263,0.0009537684,0.005738356,0.00658414,0.003330883,0.003704382,0.002103097,0.0001705493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07402751,"about_ca_system_score_gemma":0.0841962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818764,"about_ca_topic_score_gemma":0.9801095,"domain_scores_codex":[0.9546105,0.007689109,0.003714678,0.004038732,0.02645748,0.003489517],"domain_scores_gemma":[0.9263824,0.02190226,0.01123953,0.002173513,0.03627675,0.002025611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001814892,0.0001198699,0.7568513,0.001680527,0.0002971177,0.0002467239,0.03898568,0.001286321,0.0006204193,0.00241697,0.01645344,0.1808602],"study_design_scores_gemma":[0.00001914225,0.0001366887,0.9628605,0.001464703,0.0001555749,0.0002584532,0.0210747,0.002811059,0.00038458,0.001167795,0.009524503,0.0001423784],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085341,0.02306269,0.01035252,0.03896014,0.0008290132,0.0006027572,0.001826277,0.0001702283,0.01566246],"genre_scores_gemma":[0.9830791,0.003703091,0.008232949,0.00338019,0.00009695411,0.0001941929,0.0004929276,0.00003594402,0.0007847048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07402751,"threshold_uncertainty_score":0.5371097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08125628799904357,"score_gpt":0.342740451302491,"score_spread":0.2614841633034474,"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."}}