{"id":"W2973325067","doi":"10.1097/mlr.0000000000001203","title":"Using Diagnoses to Estimate Health Care Cost Risk in Canada","year":2019,"lang":"en","type":"article","venue":"Medical Care","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information; Ontario Medical Association; Ministry of Health and Long Term Care","funders":"Ontario Medical Association; Ontario Ministry of Health and Long-Term Care","keywords":"Censoring (clinical trials); Health care; Medicine; Population; Demography; Actuarial science; Environmental health; Business; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002928888,0.0009892615,0.0005130153,0.00322546,0.0009847569,0.002049635,0.001727674,0.000436265,0.002060308],"category_scores_gemma":[0.01858632,0.0004318678,0.001078386,0.003337278,0.0006011832,0.0006498013,0.001575588,0.0009410783,0.0003029205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03473943,"about_ca_system_score_gemma":0.03208737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875913,"about_ca_topic_score_gemma":0.977794,"domain_scores_codex":[0.997842,0.0004119603,0.000140305,0.0004844607,0.0008383872,0.0002828643],"domain_scores_gemma":[0.994849,0.001223724,0.001150758,0.0003057636,0.002154174,0.0003166143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131111,0.00004388609,0.9315689,0.00006631988,0.0003219745,0.00005663542,0.0002505262,0.04173495,0.00006619577,0.001504874,0.003596045,0.02065862],"study_design_scores_gemma":[0.00006745927,0.00005641451,0.6786789,0.0001482058,0.0001879591,0.00008867143,0.0005871462,0.3116119,0.0004161775,0.002783834,0.005294288,0.00007909883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385446,0.001514055,0.01605449,0.002040796,0.00008696804,0.0003833314,0.03180898,0.0004361622,0.009130751],"genre_scores_gemma":[0.9845682,0.000372641,0.006627834,0.0001036511,0.00001404424,0.00005699596,0.006958511,0.00002765207,0.001270355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03473943,"threshold_uncertainty_score":0.2520534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663635227595058,"score_gpt":0.3791418349253842,"score_spread":0.3525054826494336,"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."}}