{"id":"W2129928178","doi":"10.22004/ag.econ.19968","title":"Nutrition and Health: Structural Analysis of Egg Consumption in Canada","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Presentation (obstetrics); Library science; Consumption (sociology); Agriculture; Agricultural economics; Political science; Economy; Geography; Economic history; Economics; Medicine; Sociology; Archaeology; Social science","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":[0.001092418,0.0003086834,0.0005361047,0.001712402,0.001108261,0.0009957559,0.001036847,0.000513692,0.004625738],"category_scores_gemma":[0.005038561,0.0003035158,0.001164858,0.00390166,0.0008785893,0.0003582626,0.001014857,0.0007645407,0.0003218729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01722631,"about_ca_system_score_gemma":0.01611475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888574,"about_ca_topic_score_gemma":0.9851447,"domain_scores_codex":[0.999217,0.00009525523,0.00003425067,0.0001329668,0.0002346495,0.0002857604],"domain_scores_gemma":[0.9970245,0.0008371193,0.0005288078,0.0002637156,0.001023167,0.0003227129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002794302,0.00008564676,0.9562019,0.00004709914,0.0002704943,0.0002028821,0.0006843536,0.02058553,0.0004504777,0.004171317,0.002815416,0.01420549],"study_design_scores_gemma":[0.00001675788,0.00003311782,0.9564965,0.00001253066,0.00004368885,0.00004654594,0.0008213117,0.03969065,0.000146112,0.0006472607,0.00201699,0.00002854597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882463,0.0002868478,0.0006772701,0.0005458116,0.000006723124,0.00002890718,0.00828444,0.00002913309,0.001894538],"genre_scores_gemma":[0.9922345,0.0001911116,0.0003542816,0.00002423324,0.000005299933,0.0000138779,0.005336593,0.000006189399,0.001833967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01722631,"threshold_uncertainty_score":0.1249862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05286005484914776,"score_gpt":0.2326167480777279,"score_spread":0.1797566932285801,"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."}}