{"id":"W2169390374","doi":"10.1186/1475-9276-10-12","title":"Income inequities in end-of-life health care spending in British Columbia, Canada: A cross-sectional analysis, 2004-2006","year":2011,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Health services research; Cross-sectional study; Social policy; Public health; Quality of Life Research; Health policy; Health care; Environmental health; Economic growth; Political science; Socioeconomics; Geography; Medicine; Sociology; Economics; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003650525,0.0001259951,0.0008661075,0.001020478,0.0001558043,0.0001931469,0.0004837409,0.0001244028,0.0003048095],"category_scores_gemma":[0.0002534121,0.0001839804,0.0001875704,0.0005680113,0.00005259817,0.0003277388,0.0001050468,0.0004982143,0.00000232514],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006942567,"about_ca_system_score_gemma":0.003535435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948126,"about_ca_topic_score_gemma":0.9986177,"domain_scores_codex":[0.9954083,0.00007660271,0.003251875,0.0003435593,0.0002639478,0.0006557115],"domain_scores_gemma":[0.9978558,0.00005840675,0.001472171,0.0001351775,0.0001899547,0.0002885177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003276923,0.00008398857,0.9928737,0.0002822903,0.00008549707,0.00002541938,0.001194271,0.0005216449,5.584078e-8,0.001972482,0.00007732989,0.002850542],"study_design_scores_gemma":[0.001143752,0.0001293599,0.9918624,0.000246325,6.809063e-7,0.00004872044,0.0007520731,0.0002496115,2.899937e-7,0.003677509,0.001733788,0.0001554912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873732,0.005262698,0.000359224,0.0005679126,0.003074074,0.0004197191,0.00237246,0.000006738083,0.000563923],"genre_scores_gemma":[0.9979545,0.0006258715,0.0003050479,0.0004721024,0.0002763432,0.00003041684,0.00009910189,0.0000182928,0.0002183345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058124,"threshold_uncertainty_score":0.9968696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204997422233461,"score_gpt":0.3805888696586739,"score_spread":0.2600891274353278,"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."}}