{"id":"W6990109614","doi":"","title":"Consumer Valuation of Milk and Chicken Products Near the Best Before Date in Canada","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","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; Logit; Valuation (finance); Contingent valuation; Consumer behaviour; Food products; Consumer demand; Logistic regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005094325,0.0001513512,0.0002591404,0.0005781174,0.001288983,0.001311534,0.000405175,0.0002157689,0.002893796],"category_scores_gemma":[0.002567188,0.0001486435,0.000266746,0.001355815,0.0005691395,0.0004472709,0.0004195841,0.0002979343,0.0001261875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01299904,"about_ca_system_score_gemma":0.006514995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794092,"about_ca_topic_score_gemma":0.988466,"domain_scores_codex":[0.9996238,0.0000398632,0.00001133087,0.00004809814,0.0002135251,0.00006338555],"domain_scores_gemma":[0.9991739,0.0001967795,0.0001191663,0.00003263813,0.000325877,0.0001516015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001507583,0.0002752993,0.914792,0.0001668761,0.0001309172,0.0006585967,0.009158446,0.004466868,0.008331634,0.00252844,0.002351588,0.05563167],"study_design_scores_gemma":[0.00001701603,0.0001107215,0.9854916,0.00003230548,0.00002458023,0.0000642774,0.007085034,0.003141808,0.0006291592,0.0002487025,0.00311759,0.00003718104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972904,0.00009265665,0.00006683674,0.00006249054,0.00000103842,0.000008668843,0.0002536282,0.000002704171,0.002221467],"genre_scores_gemma":[0.9979084,0.00011862,0.000193694,0.00001800277,3.771905e-7,0.000002401858,0.0002355946,0.000001833417,0.001521118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02059084,"threshold_uncertainty_score":0.09431511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094778638372879,"score_gpt":0.1912714484448097,"score_spread":0.1503236620610809,"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."}}