{"id":"W6920542833","doi":"10.6084/m9.figshare.13565669","title":"Additional file 6 of Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to health administrative data","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Alberta; University of Toronto; McMaster University","funders":"","keywords":"Health care; Health services; Acute care; Linked data; Service (business); Multimorbidity; Association (psychology); Imputation (statistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001686961,0.0008748502,0.001023114,0.001785557,0.0008139507,0.001170758,0.001486963,0.0009316048,0.8029127],"category_scores_gemma":[0.0264876,0.0005795194,0.001171713,0.003625328,0.0001897968,0.001149888,0.0008076209,0.0009273107,0.1028853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008914329,"about_ca_system_score_gemma":0.001664537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408569,"about_ca_topic_score_gemma":0.03069659,"domain_scores_codex":[0.9990572,0.0002273157,0.0001665753,0.0002185227,0.0001759923,0.0001543137],"domain_scores_gemma":[0.9835845,0.01158804,0.001194755,0.001074379,0.002182719,0.0003754214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002737313,0.00009554522,0.005411137,0.0009119445,0.00008823571,0.00004191745,0.0000462268,0.0004549122,0.00004347355,0.0005244284,0.9879595,0.004148859],"study_design_scores_gemma":[0.01256038,0.0005056306,0.1601044,0.004461067,0.0006118297,0.0005806429,0.000759133,0.004470892,0.0008553679,0.01086549,0.8040059,0.0002193336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002312357,0.000007730456,0.0001105547,0.0000483805,0.00001115401,0.00004789494,0.9988049,0.00007248339,0.0006656],"genre_scores_gemma":[0.01098316,0.00007292714,0.002053174,0.0003387556,0.00007524381,0.001501151,0.9759309,0.0003517246,0.008693019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8029127,"threshold_uncertainty_score":0.281121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.215312957630566,"score_gpt":0.4032904684690083,"score_spread":0.1879775108384423,"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."}}