{"id":"W2999942009","doi":"10.1177/0272989x19896567","title":"Exploring the Benefits of Transformations in Health Utility Mapping","year":2020,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Public Health; Toronto General Hospital; University of Toronto","funders":"","keywords":"Skewness; Econometrics; Statistics; Estimator; Computer science; Kurtosis; Transformation (genetics); Sample size determination; Mathematics","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":[0.1077911,0.001736565,0.0009420629,0.002601059,0.0008622068,0.003608584,0.002008371,0.001589563,0.004315442],"category_scores_gemma":[0.4461167,0.0007639694,0.00296167,0.004367113,0.003601169,0.00630076,0.00319637,0.003549246,0.0006837861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370808,"about_ca_system_score_gemma":0.00324113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006863385,"about_ca_topic_score_gemma":0.00398437,"domain_scores_codex":[0.9008358,0.08741303,0.003013436,0.002905434,0.005144102,0.0006882368],"domain_scores_gemma":[0.5209373,0.4268948,0.01396209,0.02474413,0.01281246,0.0006491527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002648881,0.0007082268,0.1018346,0.001610748,0.001225789,0.0009348559,0.006267368,0.3265803,0.002294085,0.1733761,0.006211178,0.3763078],"study_design_scores_gemma":[0.00058421,0.00252224,0.02062015,0.001090663,0.0006454528,0.001065106,0.002655956,0.6579332,0.008610255,0.2858062,0.01814344,0.0003231774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1376406,0.001709239,0.8469484,0.00378001,0.0003110172,0.001073062,0.0007840774,0.00135781,0.006395747],"genre_scores_gemma":[0.695945,0.0005764803,0.3010911,0.0003694879,0.00007321258,0.0006425309,0.0003469635,0.0003119355,0.0006433415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1077911,"threshold_uncertainty_score":0.5700608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7041942650901617,"score_gpt":0.4628553782038871,"score_spread":0.2413388868862746,"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."}}