{"id":"W4223486970","doi":"10.1080/21645698.2022.2038525","title":"Genetically modified foods: bibliometric analysis on consumer perception and preference","year":2022,"lang":"en","type":"article","venue":"GM crops & food","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Per capita; Preference; Consumption (sociology); Government (linguistics); Perception; Marketing; Business; Genetically modified food; Public policy; Public economics; Genetically modified organism; Agricultural economics; Economics; Economic growth; Psychology; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004740664,0.0003062326,0.000785441,0.05926288,0.0006644935,0.003196365,0.0004824398,0.0005829689,0.003953713],"category_scores_gemma":[0.03393603,0.000131521,0.0008741399,0.0978036,0.0006813798,0.002791982,0.001200293,0.000344653,0.000513827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120897,"about_ca_system_score_gemma":0.001225503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004402606,"about_ca_topic_score_gemma":0.004740887,"domain_scores_codex":[0.9943997,0.00114686,0.0009515496,0.0005539787,0.002662681,0.0002852002],"domain_scores_gemma":[0.9579486,0.02511416,0.009309457,0.001409132,0.005382951,0.0008357083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002595108,0.00007095684,0.9029825,0.002906607,0.0009258795,0.0001998158,0.00262678,0.0003519241,0.001026475,0.001726163,0.004615863,0.08230756],"study_design_scores_gemma":[0.0000128155,0.00004722138,0.9835571,0.000331629,0.0003150908,0.0003712833,0.003478395,0.0008949399,0.0003355308,0.001219376,0.009399915,0.00003676735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276669,0.01934063,0.001577132,0.002238692,0.0001046084,0.0001387875,0.02083174,0.0001939312,0.02790746],"genre_scores_gemma":[0.9856399,0.005197125,0.001105294,0.0001153992,0.00015521,0.0001032954,0.006821476,0.00002791719,0.0008343182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9407371,"threshold_uncertainty_score":0.02507138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06917925277951521,"score_gpt":0.2601733931358076,"score_spread":0.1909941403562924,"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."}}