{"id":"W2070981833","doi":"10.1038/jid.2012.50","title":"Willingness to Pay in Dermatology: Assessment of the Burden of Skin Diseases","year":2012,"lang":"en","type":"article","venue":"Journal of Investigative Dermatology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging","keywords":"Medicaid; Medicine; Willingness to pay; Quality of life (healthcare); Time-trade-off; Gerontology; Family medicine; Health care; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.003528424,0.0001519509,0.00142027,0.0004143909,0.000054491,0.000008040765,0.0004449161,0.000133245,0.00006137231],"category_scores_gemma":[0.004057445,0.0001225254,0.0001769313,0.0003575845,0.0003914256,0.0003840133,0.00009193165,0.0002857572,0.00002529634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288615,"about_ca_system_score_gemma":0.0004031586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002190332,"about_ca_topic_score_gemma":0.00002601322,"domain_scores_codex":[0.9938953,0.0009378195,0.004555105,0.0001557335,0.0001222273,0.0003338105],"domain_scores_gemma":[0.9929767,0.001162917,0.005119437,0.0002975469,0.0001976519,0.000245706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001142985,0.0001452028,0.9292444,0.0003313623,0.0001024624,0.000003456008,0.006570558,0.0009001778,0.0001721598,0.05683427,0.005661893,0.00002261232],"study_design_scores_gemma":[0.0009968543,0.00006415936,0.9605509,0.0003065171,0.00002630505,0.0002633637,0.003151307,0.001087624,0.004501651,0.02260587,0.006237159,0.0002082581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334177,0.001191192,0.001022411,0.06306036,0.0006127645,0.0003099793,0.00007651364,0.000003148872,0.0003059388],"genre_scores_gemma":[0.9933508,0.00003195009,0.003383428,0.00303087,0.0001531972,0.0000166822,0.000002067424,0.00001459662,0.00001640982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06002949,"threshold_uncertainty_score":0.4996443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035258673381122,"score_gpt":0.4261118164106427,"score_spread":0.2225859490725305,"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."}}