{"id":"W3142338036","doi":"","title":"The Estimation of Food Demand Elasticities in Canada","year":2007,"lang":"en","type":"article","venue":"","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Estimation; Profitability index; Economics; Consumer demand; Agricultural economics; Food sector; Business; Microeconomics; Geography","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":[0.001937474,0.0006013829,0.0007194908,0.002356544,0.001630317,0.001903529,0.001105161,0.0005335741,0.004418433],"category_scores_gemma":[0.008533807,0.000516571,0.0009851997,0.005245583,0.0005319162,0.0005611342,0.0008759913,0.001067877,0.0004670366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03280729,"about_ca_system_score_gemma":0.02593016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969748,"about_ca_topic_score_gemma":0.99349,"domain_scores_codex":[0.9989825,0.0001099493,0.00004587373,0.0001686668,0.0002934249,0.0003995392],"domain_scores_gemma":[0.9961532,0.001035514,0.0002947897,0.0002149492,0.002039566,0.0002620592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000514336,0.0002384255,0.7284993,0.0001444714,0.0005506974,0.0004251919,0.0007653965,0.1765452,0.0005782157,0.01068333,0.02230082,0.05875468],"study_design_scores_gemma":[0.00006643514,0.00004234259,0.7716144,0.00006912708,0.000121878,0.00005795726,0.001743942,0.2077853,0.0006760544,0.001881369,0.01584279,0.00009842028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619024,0.0005146363,0.003945046,0.0005964166,0.00002285973,0.0001134736,0.02231853,0.0002052256,0.01038134],"genre_scores_gemma":[0.9710844,0.0004393378,0.003177433,0.00006140072,0.00000938029,0.00004061639,0.01999717,0.00004681136,0.005143492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03280729,"threshold_uncertainty_score":0.2380347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009252660032335677,"score_gpt":0.1631882882755948,"score_spread":0.1539356282432591,"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."}}