{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055578,0.0001048346,0.00007330268,0.00001056063,0.00007359392,0.00003812753,0.0001070802,0.00009905059,0.00002013226],"category_scores_gemma":[0.00009916796,0.0001112052,0.00003351295,0.00009150727,0.00007064817,0.000005137093,0.0001038396,0.00003999571,0.00001141468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634186,"about_ca_system_score_gemma":0.00003073884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009234353,"about_ca_topic_score_gemma":0.0002976813,"domain_scores_codex":[0.9993117,0.00002248434,0.00009817551,0.0002589547,0.0001053147,0.0002034018],"domain_scores_gemma":[0.9995737,0.000003703683,0.00002440196,0.0002150519,0.0000943295,0.00008877651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005515653,0.001415722,0.129154,0.000631246,0.002585459,0.00002252426,0.003747138,0.0002727736,0.2834158,0.1621232,0.09797326,0.3131433],"study_design_scores_gemma":[0.009532047,0.01180972,0.1006026,0.00004443498,0.0001964863,0.0001026556,0.001035283,0.003996721,0.4241369,0.02486654,0.4215347,0.002141922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849762,0.001819631,0.008434725,0.0001440931,0.0005164001,0.0001010377,0.00003984385,0.00002370096,0.003944418],"genre_scores_gemma":[0.9989513,0.00009497863,0.0003978823,0.0000959114,0.000401666,0.000006475313,0.00003446911,0.000006306656,0.00001107508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3235615,"threshold_uncertainty_score":0.4534815,"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."}}