{"id":"W2911758368","doi":"10.1002/agr.21604","title":"Chinese consumers’ preferences for quality signals on fresh milk: Brand versus certification","year":2019,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Certification; EconLit; Business; Marketing; Advertising; Quality (philosophy); Affect (linguistics); Consumption (sociology); Psychology; Economics; Biology; Sociology; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004556607,0.0001384175,0.0002912943,0.00006903792,0.0000750959,0.00004894143,0.0001464228,0.00009156216,0.001194618],"category_scores_gemma":[0.0001012563,0.0001367452,0.00007990873,0.00009437462,0.00003740897,0.0002450764,0.00002164405,0.00005464406,0.001810187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009104689,"about_ca_system_score_gemma":0.000009929522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002037619,"about_ca_topic_score_gemma":0.00005289531,"domain_scores_codex":[0.9989343,0.0000157364,0.0004472617,0.0003921008,0.00003340173,0.0001771992],"domain_scores_gemma":[0.9991329,0.0002266888,0.000302166,0.0002770853,0.00002101217,0.00004013091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000335512,0.000143146,0.9767502,0.00007131431,0.00007152861,7.189514e-8,0.0001914589,0.0009230977,0.0007087293,0.01854407,0.0007194423,0.001541444],"study_design_scores_gemma":[0.001843255,0.00007716638,0.9856205,0.000009645184,0.000006008401,1.458762e-7,0.00006063903,0.0006526387,0.0003702195,0.00822901,0.002905256,0.0002254981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902675,0.0002512689,0.0009167155,0.0004293038,0.0009835444,0.0005020705,0.0002492714,0.0000232567,0.006377035],"genre_scores_gemma":[0.9985515,0.00006467852,0.0001361311,0.0001385096,0.00007257022,0.00006918912,0.0002836302,0.00001491304,0.0006688069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031506,"threshold_uncertainty_score":0.9997184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1938035839213374,"score_gpt":0.2888778020096211,"score_spread":0.09507421808828367,"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."}}