{"id":"W3121928954","doi":"","title":"Expenditure Dispersion and Dietary Quality: Evidence from Canada","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Agricultural and Applied Economics Association","keywords":"Calorie; Quantile regression; Agricultural economics; Quality (philosophy); Economics; Food away from home; Dispersion (optics); Business; Food science; Food consumption; Econometrics; Biology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001306549,0.000291154,0.0007002905,0.002783068,0.00236346,0.001751289,0.001110969,0.0005045788,0.008132037],"category_scores_gemma":[0.01002339,0.0003904471,0.000578439,0.01404359,0.001380727,0.0004852472,0.001350658,0.0009557679,0.0004280299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0163716,"about_ca_system_score_gemma":0.01839332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947035,"about_ca_topic_score_gemma":0.9950233,"domain_scores_codex":[0.9984041,0.0001584094,0.0001123394,0.0002074207,0.0007490965,0.0003686101],"domain_scores_gemma":[0.9852489,0.0023146,0.003997648,0.00070694,0.006065202,0.001666793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004308721,0.00006570805,0.9690725,0.0002498597,0.0003659316,0.0002225552,0.001765793,0.0003661669,0.00008388885,0.001273198,0.00734285,0.01876073],"study_design_scores_gemma":[0.00002112644,0.00001442862,0.9951063,0.0001321318,0.00007172376,0.00004390327,0.0008361361,0.0001083632,0.00003291786,0.0001159869,0.003501466,0.00001542388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369261,0.01135693,0.0003351297,0.003706644,0.00005336987,0.00005942766,0.02629291,0.0000246285,0.02124484],"genre_scores_gemma":[0.9793092,0.008294434,0.0002706745,0.0003952372,0.00002832556,0.00001388468,0.008434318,0.00001900492,0.003234877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163716,"threshold_uncertainty_score":0.1187848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07142251258526344,"score_gpt":0.3043999338357194,"score_spread":0.232977421250456,"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."}}