{"id":"W1509746132","doi":"10.1111/j.1528-1167.2011.03292.x","title":"Development of an epilepsy-specific risk adjustment comorbidity index","year":2011,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; Alberta Health Services; Hotchkiss Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Epilepsy; Comorbidity; Medicine; Hazard ratio; Internal medicine; Population; Charlson comorbidity index; Depression (economics); Proportional hazards model; Mortality rate; Psychiatry; Confidence interval; Environmental health","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":[0.004781899,0.0005251555,0.0007022213,0.002716723,0.0003981516,0.0009017444,0.0007539393,0.0002924719,0.0009914289],"category_scores_gemma":[0.0153664,0.0001669918,0.00098067,0.002352732,0.0001409041,0.0006439647,0.001092716,0.0006867903,0.000334356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003272561,"about_ca_system_score_gemma":0.005470426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04736707,"about_ca_topic_score_gemma":0.0611626,"domain_scores_codex":[0.9974331,0.0005733776,0.0005024737,0.0002469428,0.001051448,0.0001925645],"domain_scores_gemma":[0.9938885,0.0007487338,0.00124847,0.0003022458,0.003449201,0.0003628371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001398379,0.00008412277,0.898085,0.0001434933,0.0003093422,0.00004723926,0.00006552989,0.001396254,0.0002799283,0.0005129137,0.005754305,0.09318209],"study_design_scores_gemma":[0.00004689622,0.0001548381,0.9752339,0.0001730922,0.0002127652,0.0001789366,0.0000757054,0.01391504,0.0006358013,0.0004746435,0.00886741,0.00003102443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360769,0.005116331,0.0938371,0.002820962,0.0004912097,0.006823085,0.03846073,0.001307631,0.0150661],"genre_scores_gemma":[0.8131256,0.001741518,0.141894,0.0005354242,0.0001752834,0.002911771,0.03783548,0.0000952266,0.001685747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04736707,"threshold_uncertainty_score":0.09418273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06873111110872278,"score_gpt":0.3031023613984981,"score_spread":0.2343712502897753,"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."}}