{"id":"W7056715620","doi":"","title":"Food trade issues and food purchasing decisions by consumers in china","year":2010,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Purchasing; Food safety; Food industry; Food packaging; Food supply; Food systems; Probit model; Food processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005567537,0.0001740131,0.0002477372,0.0001979759,0.0001157135,0.00002104725,0.0002019052,0.0002759375,0.000007153689],"category_scores_gemma":[0.00001202779,0.0002398824,0.00005472196,0.000183604,0.00005536997,0.0001218226,0.00001872234,0.0003830605,0.000006516965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004202472,"about_ca_system_score_gemma":0.00001990366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005578634,"about_ca_topic_score_gemma":0.2600155,"domain_scores_codex":[0.9993869,0.00001608081,0.00008889889,0.0002049603,0.0001353704,0.0001678008],"domain_scores_gemma":[0.9995981,0.0000592802,0.00005726309,0.000190941,0.00001500237,0.00007937566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007464461,0.001879739,0.0657215,0.00493791,0.003235362,0.0001400712,0.05070177,0.002310326,0.3457171,0.01639876,0.349552,0.158659],"study_design_scores_gemma":[0.003640204,0.0005840601,0.7803217,0.001097666,0.0005120602,0.00001628814,0.07369727,0.007838563,0.01017764,0.002110393,0.1178647,0.002139537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954399,0.001054529,0.0005674995,0.0004168933,0.0001449112,0.0002602414,0.0001624183,0.00009779447,0.001855796],"genre_scores_gemma":[0.9971555,0.0009304699,0.001269233,0.000003184635,0.00001323881,0.000001130356,0.0002921927,0.00003154579,0.0003035104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7146001,"threshold_uncertainty_score":0.9782121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115082840104396,"score_gpt":0.2008237136998054,"score_spread":0.1893154296893658,"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."}}