{"id":"W2738215731","doi":"","title":"Designer's Corner - Willingness-To-Pay (WTP): The New-Old Kid on the Economic Evaluation Block","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Enthusiasm; Economics; Health economics; Public economics; Valuation (finance); Economic evaluation; Goods and services; Cost–benefit analysis; Actuarial science; Health care; Microeconomics; Economy; Economic growth; Psychology; Political science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0657263,0.003237442,0.005272321,0.0053782,0.001706363,0.014295,0.004834688,0.008822831,0.02197314],"category_scores_gemma":[0.1321169,0.001599501,0.004507436,0.005818876,0.01818578,0.0217573,0.006231704,0.01687125,0.006680607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007180233,"about_ca_system_score_gemma":0.005782209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416011,"about_ca_topic_score_gemma":0.001876236,"domain_scores_codex":[0.9609209,0.02293043,0.002886065,0.00415708,0.008285267,0.0008202301],"domain_scores_gemma":[0.8890284,0.09216254,0.002432223,0.007861473,0.00746852,0.001046793],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001904276,0.00006417835,0.0006314074,0.0006318049,0.0001401666,0.00007742803,0.0003601087,0.004951922,0.0001351504,0.8559314,0.01971187,0.1171741],"study_design_scores_gemma":[0.00006705226,0.0001062833,0.0002643532,0.001133913,0.0000835365,0.0001624153,0.0001482147,0.009689781,0.0002442826,0.8678193,0.1201811,0.00009984432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.002674304,0.04489835,0.8141695,0.05054591,0.00519155,0.0005689228,0.0005582919,0.0005384562,0.08085478],"genre_scores_gemma":[0.1865003,0.08802623,0.6334171,0.03071558,0.0102105,0.003571101,0.0006517808,0.001756155,0.04515129],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9342737,"threshold_uncertainty_score":0.347598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3209747921404393,"score_gpt":0.335468491927159,"score_spread":0.01449369978671966,"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."}}