{"id":"W2135877633","doi":"10.1186/1471-2318-13-127","title":"interRAI home care quality indicators","year":2013,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Minimum Data Set; Medicine; Quality (philosophy); Set (abstract data type); Case mix index; Covariate; Sample (material); Long-term care; Scope (computer science); Gerontology; Nursing; Nursing homes; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004392632,0.000225014,0.0003972143,0.0003770147,0.0005388081,0.00003436691,0.0003400724,0.0003665735,0.002470891],"category_scores_gemma":[0.0003130609,0.0001977007,0.0001713215,0.000854625,0.00005329956,0.000173178,0.0001891658,0.000542201,0.003082377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947921,"about_ca_system_score_gemma":0.0004477979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487751,"about_ca_topic_score_gemma":0.000318138,"domain_scores_codex":[0.99733,0.0005212299,0.0007336173,0.0003846359,0.0003483849,0.0006821428],"domain_scores_gemma":[0.998082,0.0004209762,0.000360703,0.0005920251,0.0002792086,0.0002650351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006039724,0.00008431878,0.7856495,0.0009901016,0.00002765029,0.000001526498,0.03246916,0.000002495373,0.0001162437,0.001829533,0.1632984,0.01547068],"study_design_scores_gemma":[0.001306104,0.00009632656,0.8827338,0.00004984998,0.00005457144,0.000001326904,0.05208237,0.000004906666,0.0000332106,0.001599407,0.06153812,0.0005000806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773961,0.001131018,0.0005214409,0.0004011464,0.004824588,0.0009728518,0.00002913127,0.0003202822,0.01440344],"genre_scores_gemma":[0.9941322,0.00006081229,0.001414765,0.000288218,0.001037193,0.0002018968,0.00007416532,0.00004483852,0.002745929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017603,"threshold_uncertainty_score":0.998441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550401460041741,"score_gpt":0.3996221040125471,"score_spread":0.3445819580083729,"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."}}