{"id":"W6901997066","doi":"10.6084/m9.figshare.13565666","title":"Additional file 5 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":"Odds; Service (business); Association (psychology); Acute care; Multimorbidity; Health care; Health services","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":[0.001241343,0.0008293173,0.001116252,0.001801649,0.0008040174,0.0009717016,0.00143575,0.0008986789,0.7486234],"category_scores_gemma":[0.02162532,0.0005226715,0.001171803,0.003756854,0.0001779159,0.001279336,0.0007732965,0.0008759638,0.06405344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009877044,"about_ca_system_score_gemma":0.001512432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03339364,"about_ca_topic_score_gemma":0.03677574,"domain_scores_codex":[0.9991724,0.0001736592,0.0001507258,0.0001873055,0.000156533,0.0001594875],"domain_scores_gemma":[0.986014,0.009698536,0.001339121,0.0006342634,0.001936233,0.0003777361],"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":[0.0003577024,0.0001301801,0.01263158,0.001327141,0.0001130075,0.00006225066,0.00006233953,0.0005755581,0.00005841765,0.0006609082,0.9799216,0.004099281],"study_design_scores_gemma":[0.01455237,0.000863125,0.3743966,0.006741162,0.0008216039,0.0009440226,0.001372878,0.00670743,0.0009827836,0.009317885,0.5830089,0.0002912598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004454477,0.00001051155,0.00007398751,0.00005699254,0.00001276294,0.00005301438,0.9986064,0.00004278019,0.0006980519],"genre_scores_gemma":[0.02246669,0.0001064824,0.001443181,0.000475292,0.000115796,0.001544799,0.963861,0.0001932337,0.009793411],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7486234,"threshold_uncertainty_score":0.3585582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153037230998028,"score_gpt":0.403312930802213,"score_spread":0.1880092077024102,"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."}}