{"id":"W3128103964","doi":"10.1007/s40273-020-00988-2","title":"Modifying NICE’s Approach to Equity Weighting","year":2021,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Nice; Equity (law); Excellence; Population; Health economics; Health technology; Population health; Actuarial science; Health care; Weighting; Economics; Medicine; Public economics; Risk analysis (engineering); Computer science; Political science; Economic growth; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.06129708,0.001284139,0.002726829,0.00561415,0.001269941,0.006334289,0.003601522,0.005218346,0.008201001],"category_scores_gemma":[0.2342684,0.001121607,0.002880997,0.004453873,0.003115654,0.006774983,0.00438856,0.007528274,0.0007568932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004728142,"about_ca_system_score_gemma":0.003480896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009372207,"about_ca_topic_score_gemma":0.00985468,"domain_scores_codex":[0.9303076,0.04881386,0.003302337,0.003557226,0.01242971,0.001589287],"domain_scores_gemma":[0.9102674,0.06990924,0.001853571,0.007204279,0.009875195,0.0008903905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001228766,0.00007328681,0.001707701,0.0002878567,0.0006185536,0.0001189839,0.0004109646,0.006105331,0.0001429612,0.8246731,0.0364688,0.1292698],"study_design_scores_gemma":[0.0001248039,0.00004694919,0.0009749837,0.0004186963,0.0002927058,0.0002473184,0.0001121719,0.02441243,0.0003114724,0.9177589,0.05523832,0.0000612009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009741376,0.005278052,0.8468615,0.05510921,0.003278808,0.0005209539,0.0008845815,0.0003442195,0.07798129],"genre_scores_gemma":[0.4700889,0.00231902,0.4741403,0.02334336,0.003733553,0.001311379,0.000447758,0.0006166663,0.02399918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06129708,"threshold_uncertainty_score":0.3241738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5740007790783229,"score_gpt":0.5192792688717156,"score_spread":0.05472151020660732,"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."}}