{"id":"W6921566328","doi":"10.6084/m9.figshare.c.5117078","title":"First insights on value-based healthcare of elders using ICHOM older person standard set reporting","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loneliness; Polypharmacy; Health care; Mood; Activities of daily living; Comorbidity; Tinetti test; Minimum Data Set; Geriatrics; Advance care planning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04184152,0.0004702467,0.0005726514,0.004426321,0.0005395715,0.002485898,0.001452044,0.0006426665,0.001191274],"category_scores_gemma":[0.1213831,0.0002698381,0.001325132,0.005718834,0.0003997327,0.002307172,0.003302958,0.001141978,0.0003026449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491153,"about_ca_system_score_gemma":0.003550943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707205,"about_ca_topic_score_gemma":0.01934918,"domain_scores_codex":[0.9647462,0.01671668,0.009911314,0.001108384,0.006473068,0.001044389],"domain_scores_gemma":[0.9212232,0.02349324,0.01571204,0.01021555,0.02793714,0.001418783],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000172383,0.0001538622,0.8428176,0.0008770942,0.0003916679,0.0001000928,0.003869997,0.000800233,0.0002619285,0.005242791,0.02687229,0.1184402],"study_design_scores_gemma":[0.00006350176,0.0003871266,0.9255011,0.002368888,0.0002526057,0.0002865691,0.008311793,0.006085412,0.001151166,0.00532525,0.05013517,0.0001313404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.731926,0.007550254,0.06777895,0.01976172,0.0009238351,0.00697835,0.1019586,0.0007121838,0.06241003],"genre_scores_gemma":[0.8869094,0.001805908,0.05995102,0.002127179,0.0002690291,0.005466153,0.04223373,0.00008035629,0.001157168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9581585,"threshold_uncertainty_score":0.2212818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4142395357880576,"score_gpt":0.4515606398901,"score_spread":0.03732110410204248,"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."}}