{"id":"W4402344380","doi":"10.5539/jfr.v14n1p1","title":"Asian Carp: Generation Z prefer Transparency over Branding","year":2024,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Carp; Business; Fishery; Biology; Computer science; Fish <Actinopterygii>; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004850347,0.0001893338,0.00009196556,0.0001897178,0.0003767594,0.0009945892,0.0001033093,0.0002100987,0.005211763],"category_scores_gemma":[0.0008121,0.0000773208,0.0001822163,0.0001566132,0.0003597294,0.0003412614,0.0004526143,0.0004022294,0.0003865879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479725,"about_ca_system_score_gemma":0.000269406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002383281,"about_ca_topic_score_gemma":0.005149534,"domain_scores_codex":[0.9998218,0.00003082337,0.000008843592,0.00002866269,0.0000777104,0.00003219788],"domain_scores_gemma":[0.9995725,0.00009451376,0.0001396492,0.00003099881,0.00008845607,0.00007390387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002023212,0.001456599,0.7277243,0.0003490055,0.00009407989,0.001114542,0.03213518,0.0001949434,0.128833,0.001768744,0.003251909,0.1010545],"study_design_scores_gemma":[0.0000356732,0.002439533,0.9341859,0.00005850781,0.00006766848,0.00062935,0.0466858,0.000427733,0.006903988,0.0003983185,0.008122916,0.00004476001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969587,0.00001776448,0.00006815655,0.0000464927,0.000004856553,0.000008804721,0.00001097171,0.000002694068,0.002881573],"genre_scores_gemma":[0.9964536,0.00006727716,0.0001552342,0.0000765374,0.000004042894,0.000009060062,0.00002300324,0.000002797489,0.00320837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005211763,"threshold_uncertainty_score":0.01743513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2301197061617821,"score_gpt":0.4711668621157223,"score_spread":0.2410471559539402,"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."}}