{"id":"W2108139719","doi":"10.1111/j.1744-7976.2009.01154.x","title":"Consumer Response to Information about a Functional Food Product: Apples Enriched with Antioxidants","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Washington State University","keywords":"Product (mathematics); Willingness to pay; Valuation (finance); Consumer information; Health benefits; Food products; Economics; Welfare economics; Business; Marketing; Advertising; Food science; Medicine; Traditional medicine; Biology; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008422597,0.0003518751,0.0006973101,0.000711192,0.0002536206,0.000258804,0.000394137,0.0001271391,0.0005145455],"category_scores_gemma":[0.0001500744,0.0003433473,0.0001984514,0.0001947893,0.00009173564,0.00182505,0.00001555568,0.0002573223,0.0005946031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320251,"about_ca_system_score_gemma":0.0004086932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128732,"about_ca_topic_score_gemma":0.09111129,"domain_scores_codex":[0.9974028,0.00002845116,0.001426944,0.000410661,0.00001357444,0.0007175472],"domain_scores_gemma":[0.997083,0.00005805774,0.001146204,0.0003010704,0.0001156244,0.00129603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002816646,0.0002686472,0.4415984,0.0001397483,0.001973748,0.00007423434,0.01519617,0.124859,0.001194235,0.3636846,0.03352721,0.01466722],"study_design_scores_gemma":[0.001251893,0.001008212,0.9521739,0.000035765,0.00002667084,0.0003575967,0.0007533148,0.00004256284,0.00008533818,0.002520752,0.04117217,0.000571774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902735,0.0004592604,0.000184945,0.005931627,0.000788937,0.0004588405,0.0004155592,0.00001196877,0.001475404],"genre_scores_gemma":[0.9969959,0.00005573217,0.0006466233,0.001394036,0.000353751,0.00001890704,0.0000905998,0.00001987714,0.0004245953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5105755,"threshold_uncertainty_score":0.9999018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089831844108086,"score_gpt":0.1504455982499518,"score_spread":0.109547279808871,"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."}}