{"id":"W3135654212","doi":"10.1007/s43678-021-00094-y","title":"Using administrative data on high system users to call for deeper health system interventions","year":2021,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Impact; Public Health Ontario; St. Joseph’s Healthcare Hamilton; McMaster University; University of Toronto","funders":"","keywords":"Psychological intervention; Computer science; Healthcare system; Business; Health care; Nursing; Medicine; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.01453253,0.0004008008,0.0007886002,0.001605978,0.003162163,0.003902363,0.002045386,0.01640476,0.006807422],"category_scores_gemma":[0.1258323,0.0005994336,0.0008741723,0.002502359,0.001514236,0.002619454,0.001524375,0.01263806,0.002232882],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005143172,"about_ca_system_score_gemma":0.01363604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08154448,"about_ca_topic_score_gemma":0.1447081,"domain_scores_codex":[0.9825288,0.007502837,0.003145089,0.0007975299,0.003753109,0.002272671],"domain_scores_gemma":[0.8507202,0.1113616,0.007248695,0.004599311,0.01642889,0.009641411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001462973,0.000151981,0.04365947,0.0001621805,0.00006255986,0.001125291,0.001090505,0.0001005744,0.000271657,0.003443782,0.9227394,0.02704624],"study_design_scores_gemma":[0.0007162509,0.0003133864,0.1269276,0.002394024,0.0002217321,0.001933336,0.00965347,0.002594226,0.001050856,0.01850087,0.835422,0.0002723465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01018523,0.0005454688,0.0003896676,0.9670132,0.008265163,0.0001031352,0.0008246003,0.00003718505,0.01263632],"genre_scores_gemma":[0.04866781,0.0006156918,0.001505051,0.9310618,0.01157776,0.0002517998,0.0003823298,0.00004262125,0.005895093],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9948568,"threshold_uncertainty_score":0.1621397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4180043009819693,"score_gpt":0.4622397709393478,"score_spread":0.04423546995737848,"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."}}