{"id":"W2411461831","doi":"10.1093/joneph/20.3.251","title":"Economic evaluation in renal disease","year":2007,"lang":"en","type":"article","venue":"Journal of Nephrology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Medicine; Psychological intervention; Health care; Intensive care medicine; Risk analysis (engineering); Health economics; Economic evaluation; Disease; Management science; Public health; Nursing; Economic growth; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04383445,0.0001200733,0.0007221383,0.0008371016,0.00005007491,0.00002313409,0.0002418408,0.0001293752,0.0009743119],"category_scores_gemma":[0.001972862,0.0001469579,0.0001401794,0.0001075188,0.00006166783,0.0004643179,0.00002569138,0.0002553187,0.0006985624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158751,"about_ca_system_score_gemma":0.0004060636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001346771,"about_ca_topic_score_gemma":0.0005445894,"domain_scores_codex":[0.9942315,0.0003335358,0.004746167,0.0002362854,0.00009665396,0.0003558487],"domain_scores_gemma":[0.9954837,0.0007771931,0.003163522,0.0002426511,0.0000870796,0.0002458528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001290289,0.0005294851,0.6922398,0.0001590979,0.0002938222,0.000120334,0.002959748,0.01525852,0.0001467623,0.1722721,0.1101742,0.004555871],"study_design_scores_gemma":[0.002505845,0.0002038585,0.7947375,0.00003864951,0.00001827337,0.00006741796,0.0002334004,0.007180872,0.000006099578,0.06792729,0.1268674,0.0002134464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640868,0.002463186,0.002877477,0.02723435,0.0009803241,0.0002870439,0.0000212635,0.000006614947,0.002042905],"genre_scores_gemma":[0.985158,0.00009146148,0.001363995,0.01220958,0.001068142,0.000007940498,0.00000591599,0.00001730808,0.00007764708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043448,"threshold_uncertainty_score":0.9999389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2613179003196008,"score_gpt":0.4476341695371578,"score_spread":0.186316269217557,"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."}}