{"id":"W7118086431","doi":"10.1093/geroni/igaf122.622","title":"Linking Environments and Resident Function via MDS","year":2025,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Metric (unit); Set (abstract data type); Audit; Minimum Data Set; Usability; Function (biology); Quality (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002955669,0.0004190707,0.0003415247,0.003182898,0.0005347377,0.001273201,0.0004469495,0.0002532512,0.003042463],"category_scores_gemma":[0.01642818,0.0001701391,0.0005109025,0.001436569,0.0006143686,0.000763699,0.00320843,0.0004094577,0.0003182446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019944,"about_ca_system_score_gemma":0.0007704037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648097,"about_ca_topic_score_gemma":0.007237518,"domain_scores_codex":[0.9971584,0.001182938,0.0003861249,0.0002251009,0.0008260707,0.0002214618],"domain_scores_gemma":[0.9892456,0.003708514,0.003439084,0.0004604942,0.002604398,0.0005418103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001542076,0.0001717882,0.9441304,0.0001534417,0.00009526883,0.00006757009,0.003278494,0.001468786,0.0004280342,0.0004487232,0.0008059017,0.0487974],"study_design_scores_gemma":[0.000008820643,0.0003891551,0.9856167,0.0001069768,0.00004014081,0.0001203038,0.006208125,0.002764583,0.001122662,0.0008277681,0.002751444,0.0000431471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992255,0.00009233866,0.003142416,0.0000800512,0.00001055514,0.00009811081,0.0007765405,0.00005833032,0.003486766],"genre_scores_gemma":[0.9960135,0.00005277965,0.003072459,0.00001073977,0.000004129234,0.0001040719,0.0002459507,0.000004224726,0.0004922118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003648097,"threshold_uncertainty_score":0.01563132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892550306427956,"score_gpt":0.3690118603511441,"score_spread":0.3400863572868646,"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."}}