{"id":"W4226080009","doi":"10.21203/rs.3.rs-1515975/v1","title":"Investigation of whether people are willing to pay a premium for living in food swamps: A study of Edmonton, Canada","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh; Zhongnan University of Economics and Law","keywords":"Swamp; Willingness to pay; Food choice; Healthy food; Public economics; Food prices; Preference; Environmental health; Business; Geography; Marketing; Economics; Agriculture; Medicine; Food security; Food science; Ecology; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009658046,0.0002959808,0.0005280824,0.0009149231,0.007311297,0.002215703,0.00177891,0.0010577,0.006681575],"category_scores_gemma":[0.003814679,0.0004103848,0.0005283346,0.00315352,0.002023399,0.0008175276,0.001121612,0.001632947,0.0003699453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03936827,"about_ca_system_score_gemma":0.03249851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99808,"about_ca_topic_score_gemma":0.9993413,"domain_scores_codex":[0.9991462,0.0001282288,0.00002266483,0.00009651822,0.0001572903,0.0004490109],"domain_scores_gemma":[0.996739,0.0006999113,0.0003384149,0.000128421,0.001004816,0.001089474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008145672,0.0007554232,0.8589548,0.0001719064,0.0001851084,0.001262632,0.08688047,0.0007349958,0.0006836434,0.01189934,0.01468847,0.02296871],"study_design_scores_gemma":[0.00004180265,0.00005460492,0.9332547,0.00008673184,0.00004266183,0.00007463601,0.05926792,0.0005192152,0.00006745271,0.000343543,0.006212355,0.00003433658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908053,0.0004005259,0.00007344089,0.001466648,0.00001051388,0.00004044856,0.0006395017,0.000003708904,0.006559974],"genre_scores_gemma":[0.9895061,0.0004188016,0.0001522776,0.0003192118,0.000005488363,0.0000218072,0.000428761,0.000007117094,0.009140365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03936827,"threshold_uncertainty_score":0.2856382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2116187922188709,"score_gpt":0.3105329577622985,"score_spread":0.0989141655434276,"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."}}