{"id":"W3104194793","doi":"10.15353/cfs-rcea.v7i2.413","title":"“Ditch red meat and dairy, and don’t bother with local food”: The problem with universal dietary advice aiming to save the planet (and your health)","year":2020,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Sustainability; Food systems; Inclusion (mineral); Food security; Biology; Sociology; Ecology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000182194,0.000230254,0.0002058842,0.00002417417,0.0007578908,0.00005491186,0.000117854,0.00003895041,0.0000157517],"category_scores_gemma":[0.00001228255,0.0001341462,0.00001286009,0.0002043773,0.0007208203,0.0002174016,0.00009333764,0.0001370763,0.000001209672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009019118,"about_ca_system_score_gemma":0.00004404117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.187927,"about_ca_topic_score_gemma":0.9704013,"domain_scores_codex":[0.9987578,0.0001128849,0.0001504899,0.0003961085,0.0001066765,0.0004760801],"domain_scores_gemma":[0.9990503,0.00008988044,0.00007076056,0.0001264103,0.00001253827,0.0006501757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009732178,0.0000774955,0.2524098,0.0008327418,0.002019912,0.0002297514,0.6623315,0.01394553,0.0004161478,0.001571093,0.008398797,0.0567941],"study_design_scores_gemma":[0.001153225,0.00502887,0.5400707,0.0001381234,0.0002309003,0.0002332348,0.4009024,0.0002692682,0.0000349422,0.0001284025,0.05122572,0.0005842277],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616317,0.0008790469,0.00002012598,0.03607957,0.00001087822,0.0008371497,0.00008138017,0.00001695843,0.0004432599],"genre_scores_gemma":[0.9960796,0.0001433449,0.0002558575,0.003356068,0.00002389939,0.00003736179,0.00002310686,0.00001915358,0.00006166488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7824743,"threshold_uncertainty_score":0.8174806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144655564020092,"score_gpt":0.2029287253967441,"score_spread":0.1814821697565432,"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."}}