{"id":"W3025849720","doi":"10.1007/s41055-020-00072-7","title":"Understanding halal food market: Resolving asymmetric information","year":2020,"lang":"en","type":"article","venue":"Food Ethics","topic":"Halal products and consumer behavior","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Information asymmetry; Commerce; Industrial organization; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001423051,0.0000912601,0.0001092675,0.00009431478,0.0008026112,0.000231098,0.0002287964,0.0002362048,0.0001730013],"category_scores_gemma":[0.003157288,0.00009496103,0.00005049826,0.0008442746,0.0001437458,0.0006618646,0.00006535398,0.0007009279,0.00008028642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417479,"about_ca_system_score_gemma":0.0003746064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001441635,"about_ca_topic_score_gemma":0.0004860318,"domain_scores_codex":[0.9984687,0.0002374013,0.0002157383,0.0001540006,0.0006301809,0.0002939744],"domain_scores_gemma":[0.9991803,0.0002985816,0.0000920064,0.000116512,0.000129925,0.0001827132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006998916,0.00005614762,0.00770362,0.0001966797,0.00009578732,0.000004837463,0.2713336,0.00002174788,0.00004873812,0.6569859,0.02512551,0.03835736],"study_design_scores_gemma":[0.0005968287,0.0006419749,0.00263469,0.00006207517,0.00007622479,0.000001268441,0.0521092,0.0002288296,0.0002243668,0.006248891,0.9366496,0.0005260978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03590386,0.001065089,0.03036407,0.2559789,0.003384898,0.001714193,0.0001009137,0.0009594265,0.6705287],"genre_scores_gemma":[0.9974396,0.0000793121,0.0003032747,0.001719757,0.0003330661,0.000007202983,0.000004824797,0.000008770501,0.0001042464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9615357,"threshold_uncertainty_score":0.6173118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3705450519342523,"score_gpt":0.3469511142670823,"score_spread":0.02359393766717005,"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."}}