{"id":"W2304924136","doi":"10.1038/sj.embor.embor785","title":"Feeding prejudice","year":2003,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prejudice (legal term); Political science; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007516971,0.0009465597,0.0008182251,0.001826042,0.01156154,0.01005549,0.001670386,0.01276845,0.08423211],"category_scores_gemma":[0.03342486,0.0003598318,0.0007228826,0.001425012,0.01091254,0.007389228,0.008868072,0.01423948,0.02936517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004018709,"about_ca_system_score_gemma":0.003895789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005549338,"about_ca_topic_score_gemma":0.007221361,"domain_scores_codex":[0.9918656,0.003384745,0.0002911248,0.0008758091,0.002149474,0.001433277],"domain_scores_gemma":[0.9903224,0.003786789,0.0007727343,0.001360551,0.002263622,0.001493922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004300955,0.00007313952,0.00133403,0.0001222955,0.00001847681,0.000590306,0.01021567,0.00005018653,0.0003037994,0.2012052,0.6847575,0.1012863],"study_design_scores_gemma":[0.000004761752,0.00001628274,0.0004099603,0.0003425517,0.00000493589,0.000351098,0.002045045,0.00002915567,0.0001026976,0.01449593,0.982187,0.00001065854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007121475,0.009947318,0.001792363,0.2833593,0.02016457,0.00005153965,0.000201681,0.0002357674,0.677126],"genre_scores_gemma":[0.1124303,0.00673967,0.001707322,0.4715151,0.005331747,0.0001429268,0.0002485803,0.0003740522,0.4015102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08423211,"threshold_uncertainty_score":0.2817845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683717721276987,"score_gpt":0.2379687254376356,"score_spread":0.2111315482248657,"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."}}