{"id":"W1994824286","doi":"10.1016/j.jclinepi.2012.04.012","title":"GRADE guidelines: 10. Considering resource use and rating the quality of economic evidence","year":2012,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":284,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Medical Research Council","keywords":"Grading (engineering); Resource (disambiguation); Quality (philosophy); Management science; Evidence-based practice; Actuarial science; Computer science; Risk analysis (engineering); Medicine; Business; Alternative medicine; Economics","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","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4507797,0.0004626242,0.01686658,0.0003364455,0.0001449668,0.00004478918,0.000862929,0.0009693104,0.0002335714],"category_scores_gemma":[0.6182592,0.0003574238,0.002073764,0.0001155453,0.0006866486,0.0006857868,0.0002665303,0.001628237,0.0002403492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136335,"about_ca_system_score_gemma":0.0008676869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003576934,"about_ca_topic_score_gemma":0.00005963933,"domain_scores_codex":[0.8945243,0.02632465,0.07748096,0.0008054992,0.0001414042,0.0007232009],"domain_scores_gemma":[0.4480102,0.4513093,0.09854005,0.001239297,0.0003263979,0.0005747341],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001970774,0.0003015526,0.2025254,0.04307818,0.003239807,0.000007517507,0.0006904604,0.0006118415,1.027383e-7,0.1811555,0.1638444,0.4043482],"study_design_scores_gemma":[0.0003764248,0.0001465007,0.004113732,0.00712061,0.0002248854,0.0001180316,0.0001148885,0.0001942305,2.096794e-8,0.006188975,0.9810885,0.0003132559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00123675,0.9748431,0.001133799,0.02041412,0.001577121,0.0005787254,0.00009380034,0.000009239485,0.0001133739],"genre_scores_gemma":[0.0002964273,0.9789306,0.01062961,0.006714958,0.003177733,0.00001952815,0.000006974355,0.00005039182,0.0001738015],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8172441,"threshold_uncertainty_score":0.9998878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9764380239027354,"score_gpt":0.7198236227551228,"score_spread":0.2566144011476126,"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."}}