{"id":"W4390661126","doi":"10.1088/2515-7620/ad1c06","title":"The politics of red meat consumption and climate change","year":2024,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Red meat; Distrust; Ideology; Consumption (sociology); Social dominance orientation; Processed meat; Politics; Biology and political orientation; Dominance (genetics); Political science; Authoritarianism; Food science; Sociology; Social science; Democracy; Biology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137866,0.00007944344,0.0001103864,0.0003412083,0.000786506,0.001206351,0.0001167673,0.0003384154,0.002740052],"category_scores_gemma":[0.0023333,0.00008411595,0.0001719677,0.0003717749,0.001423361,0.0002856293,0.0005514557,0.0006701822,0.0001135471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005004579,"about_ca_system_score_gemma":0.0003920455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202733,"about_ca_topic_score_gemma":0.008999716,"domain_scores_codex":[0.9992794,0.0004559347,0.0000178016,0.0000481218,0.00008354738,0.0001153131],"domain_scores_gemma":[0.9957032,0.001499419,0.001838976,0.0001228146,0.0002778762,0.0005577103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001212685,0.0001997759,0.9808109,0.0000348285,0.00007046422,0.0001911846,0.007225431,0.0002101445,0.000634803,0.003048163,0.0003762264,0.007076771],"study_design_scores_gemma":[0.000005199808,0.00005520667,0.9831719,0.00002452616,0.00001845026,0.0001055043,0.01314684,0.0004114238,0.0001783281,0.001227156,0.001647618,0.00000777797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949322,0.0001825261,0.0000532753,0.0006567381,0.000008603864,0.00000148569,0.00001403547,4.494203e-7,0.004150616],"genre_scores_gemma":[0.9996949,0.0000629967,0.00002075902,0.00005389221,0.00000566027,7.425445e-7,0.000004732915,2.899436e-7,0.0001560588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004202733,"threshold_uncertainty_score":0.00916642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644621912049149,"score_gpt":0.3585107199956944,"score_spread":0.1940485287907795,"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."}}