{"id":"W2899654256","doi":"10.1016/j.gfs.2018.10.005","title":"CRISPR versus GMOs: Public acceptance and valuation","year":2018,"lang":"en","type":"article","venue":"Global Food Security","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"CRISPR; Food security; Food safety; Willingness to pay; Valuation (finance); Business; Genetically modified food; Biotechnology; Genetically modified organism; Agriculture; Marketing; Biology; Food science; Economics; Gene; Genetics; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.008044876,0.0003549887,0.0003443679,0.0009518244,0.0004228445,0.002957857,0.0002327794,0.000982283,0.005659983],"category_scores_gemma":[0.02212034,0.0001578123,0.0005916094,0.0008632799,0.001569087,0.001977037,0.001249789,0.001303933,0.0004164329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009851077,"about_ca_system_score_gemma":0.0004604319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367695,"about_ca_topic_score_gemma":0.001052482,"domain_scores_codex":[0.9952075,0.002762279,0.0001978627,0.0002230746,0.001168472,0.0004408436],"domain_scores_gemma":[0.9778696,0.01308144,0.004942674,0.001119233,0.002098581,0.0008884734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00257977,0.0009665183,0.7686149,0.0005685521,0.0006136812,0.0009434889,0.01820799,0.003035533,0.008726848,0.01961415,0.002864202,0.1732643],"study_design_scores_gemma":[0.000137077,0.001594735,0.8702564,0.0005154664,0.0003276771,0.0009197994,0.06215833,0.009815331,0.005550485,0.0294288,0.01904755,0.0002483498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836355,0.0003140386,0.001513996,0.001047139,0.00001766323,0.00003893944,0.0001485358,0.000007759465,0.01327636],"genre_scores_gemma":[0.9992786,0.0001095842,0.0001759145,0.00009514888,0.00001029686,0.00001375878,0.00004677507,0.00000270499,0.0002673657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9995772,"threshold_uncertainty_score":0.04254591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165082605296896,"score_gpt":0.3324249476220954,"score_spread":0.3107741215691264,"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."}}