{"id":"W2913798893","doi":"10.1177/1178632918825083","title":"An International Mapping of Medical Care in Nursing Homes","year":2019,"lang":"en","type":"article","venue":"Health Services Insights","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; York University; University of British Columbia","funders":"","keywords":"Staffing; Scope (computer science); Service (business); Payment; Nursing; Medical care; Business; Minimum Data Set; Medicine; Nursing homes; Marketing; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458796,0.0001434692,0.0001576186,0.007630249,0.001009334,0.001942969,0.0004368655,0.0002683352,0.004524051],"category_scores_gemma":[0.005843968,0.0001164836,0.0002532908,0.01360891,0.001001678,0.001439655,0.001772175,0.0002861864,0.0003291449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003429431,"about_ca_system_score_gemma":0.005012029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08260125,"about_ca_topic_score_gemma":0.07543012,"domain_scores_codex":[0.9985163,0.0005196841,0.0001795765,0.0002153439,0.0003160544,0.0002530981],"domain_scores_gemma":[0.9958529,0.001552195,0.0009665244,0.0003349679,0.00104364,0.0002496633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002410008,0.00009910683,0.5718169,0.00109268,0.00007020371,0.0006240048,0.04437142,0.00264486,0.001344215,0.08893299,0.01060085,0.2781618],"study_design_scores_gemma":[0.000007122088,0.00006440344,0.89971,0.00044151,0.00002505978,0.0004091755,0.03697657,0.001136495,0.0004393276,0.002830257,0.05793498,0.00002510767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8091731,0.007093455,0.005095341,0.001732416,0.0001337674,0.0001481569,0.005312086,0.0001075787,0.171204],"genre_scores_gemma":[0.9907707,0.001725557,0.003134809,0.00007717983,0.00002063979,0.00004605095,0.001395092,0.00001467778,0.002815192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08260125,"threshold_uncertainty_score":0.1642409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191608006732882,"score_gpt":0.4244767392375602,"score_spread":0.4025606591702314,"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."}}