{"id":"W2013644903","doi":"10.1111/j.1744-7976.2005.00354.x","title":"Consumer Demand for Pesticide Free Food Products in Canada: A Probit Analysis","year":2005,"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":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Manitoba","funders":"Manitoba Rural Adaptation Council","keywords":"Product (mathematics); Business; Probit model; Production (economics); Cropping; Agricultural economics; Food processing; Probit; Agriculture; Agricultural science; Pesticide; Food systems; Consumer demand; Food products; Marketing; Economics; Food security; Food science; Environmental science; Geography; Agronomy; Microeconomics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007499369,0.0003596944,0.001141459,0.0007567853,0.000159712,0.0001138015,0.0006794946,0.0001376368,0.000451955],"category_scores_gemma":[0.0002347434,0.0003936728,0.0003343145,0.0002880575,0.00008284332,0.0007589789,0.00002961336,0.0002148394,0.00004750065],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01017602,"about_ca_system_score_gemma":0.00175669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7885818,"about_ca_topic_score_gemma":0.9996445,"domain_scores_codex":[0.9964908,0.00002192745,0.001948367,0.0005922857,0.000009774212,0.0009368958],"domain_scores_gemma":[0.9970868,0.0001175575,0.001325737,0.0004042956,0.00007874456,0.0009868148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004028093,0.00004446162,0.7833548,0.00007640223,0.001565045,0.0000156725,0.00118156,0.1552924,0.000007823458,0.05003282,0.00738527,0.001003392],"study_design_scores_gemma":[0.001930911,0.0002567355,0.9594367,0.00003234296,0.0002181324,0.0001130559,0.0008271263,0.001691934,0.00009365588,0.005316986,0.02927545,0.0008069408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886701,0.001827765,0.00006955374,0.006170824,0.0007595831,0.0005498891,0.001180247,0.000004198094,0.0007678616],"genre_scores_gemma":[0.9970487,0.0001085773,0.001244753,0.0005056631,0.0005100654,0.00004901144,0.0001065397,0.00003290541,0.0003937546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2110626,"threshold_uncertainty_score":0.9998515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328706746301369,"score_gpt":0.1534517069208483,"score_spread":0.1001646394578346,"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."}}