{"id":"W4401802489","doi":"10.1007/s12208-024-00417-6","title":"Correction to: “Eat less Meat”: Beneficial for you and for the environment ‑ integrating theory and practice to shape communications encouraging a decrease in meat consumption","year":2024,"lang":"en","type":"article","venue":"International Review on Public and Nonprofit Marketing","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Consumption (sociology); Business; Food science; Marketing; Chemistry; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.002905051,0.0001033123,0.0001139001,0.00002535707,0.0002702092,0.0002203596,0.0001408479,0.00002901006,0.00004303095],"category_scores_gemma":[0.004472437,0.00004308671,0.00004012368,0.00008898757,0.00003171267,0.0001842553,0.0001264174,0.0001141474,0.000001974162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003299851,"about_ca_system_score_gemma":0.000007445349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000503795,"about_ca_topic_score_gemma":0.0002823083,"domain_scores_codex":[0.9990746,0.0002236572,0.0002109472,0.0002541148,0.0001193106,0.0001173345],"domain_scores_gemma":[0.9926713,0.007077237,0.00006004281,0.00005141133,0.00006577928,0.00007420899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001725855,0.00002886198,0.001346542,0.00009813598,0.00002668995,7.600553e-7,0.0001987586,9.37401e-7,0.00105857,0.01071701,0.001441338,0.9849098],"study_design_scores_gemma":[0.0002812921,0.0002669759,0.03260725,0.004873474,0.000135757,0.000115344,0.003300071,0.01533849,0.0000451306,0.0008204513,0.9418834,0.0003323527],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916622,0.08589329,0.003113111,0.309099,0.001089529,0.004660118,0.0001648426,0.00008602695,0.004231956],"genre_scores_gemma":[0.9708918,0.02281221,0.001333648,0.003589435,0.0002589277,0.000522692,0.00008371774,0.000003245643,0.0005043747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9845775,"threshold_uncertainty_score":0.5354248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820404046158832,"score_gpt":0.3282158196088313,"score_spread":0.2700117791472429,"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."}}