{"id":"W1894218949","doi":"10.1111/cjag.12083","title":"Simulation of Market Demand for Traceable Pork with Different Levels of Safety Information: A Case Study in Chinese Consumers","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Welfare economics; Promotion (chess); Government (linguistics); Traceability; Business; Marketing; Agricultural science; Economics; Mathematics; Political science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008319889,0.0002565655,0.0007496298,0.0001176308,0.00009466866,0.00005237889,0.0002990326,0.000110624,0.0001156125],"category_scores_gemma":[0.0002518419,0.0001151819,0.0001628314,0.0002143497,0.0001098143,0.0007859042,0.00001505,0.0001586486,5.7566e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894639,"about_ca_system_score_gemma":0.0003389379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05045645,"about_ca_topic_score_gemma":0.9532026,"domain_scores_codex":[0.9979591,0.00008874663,0.001293771,0.0002061908,0.00002786115,0.0004243073],"domain_scores_gemma":[0.9970847,0.0005686229,0.0009649267,0.00009964943,0.0004771848,0.0008049615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00127019,0.0002382551,0.7437536,0.000142589,0.0003860744,0.000166081,0.01039935,0.2333111,0.00007893024,0.0001865619,0.000231994,0.00983525],"study_design_scores_gemma":[0.002504924,0.002626485,0.9583658,0.00006098383,0.00006753485,0.0007161219,0.03255358,0.00193131,0.00003951779,0.0002735053,0.0004989476,0.0003612957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972574,0.00006705048,0.000005796631,0.0006285804,0.0002382919,0.0008921697,0.0007959374,0.00000324765,0.0001115281],"genre_scores_gemma":[0.9997134,0.000002634684,0.00007747208,0.00002840297,0.00009139514,0.0000132473,0.0000363306,0.000002323031,0.00003483141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9027461,"threshold_uncertainty_score":0.9558666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526725873606809,"score_gpt":0.1994907892575539,"score_spread":0.1642235305214858,"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."}}