{"id":"W4223569456","doi":"10.1007/s00198-022-06400-3","title":"Improving the reporting of economic evaluation in osteoporosis: the value of CHEERS 2022 statement","year":2022,"lang":"en","type":"editorial","venue":"Osteoporosis International","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics; University of Ottawa","funders":"Medical Research Council","keywords":"Medicine; Statement (logic); Osteoporosis; Value (mathematics); Rheumatology; Accounting; Medical physics; Internal medicine; Family medicine; Economics; Law; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08736502,0.003983836,0.008279566,0.008396318,0.005402624,0.01883907,0.009407745,0.04984663,0.009049464],"category_scores_gemma":[0.2959972,0.003019933,0.005634947,0.005547778,0.00818109,0.009492023,0.00369209,0.05920373,0.007801455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008952314,"about_ca_system_score_gemma":0.01362157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007476103,"about_ca_topic_score_gemma":0.01462062,"domain_scores_codex":[0.9246586,0.02411122,0.01475108,0.00402276,0.03037033,0.002086093],"domain_scores_gemma":[0.5743431,0.2676168,0.0210744,0.008997892,0.1134891,0.01447869],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002256696,0.00001049535,0.00002628567,0.0002154146,0.00003749657,0.0000328902,0.0000179979,0.00001793209,0.00001197657,0.0004788369,0.9953772,0.003750777],"study_design_scores_gemma":[0.0002523483,0.00004599072,0.0008227372,0.003445817,0.0002921037,0.0001998733,0.0001083952,0.0006682816,0.000165487,0.004873906,0.9890193,0.0001056683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002770168,0.005943301,0.0003228276,0.1853675,0.8071594,0.00003642567,0.0001056372,0.00006667576,0.000970536],"genre_scores_gemma":[0.0004808591,0.002880053,0.0004244172,0.08660599,0.9064071,0.00006059927,0.00004425478,0.00006642377,0.003030407],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.912635,"threshold_uncertainty_score":0.462036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403410394963367,"score_gpt":0.4175024071359779,"score_spread":0.2771613676396412,"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."}}