{"id":"W2038460723","doi":"10.1016/s0167-7799(03)00197-5","title":"Labeling to manage marketing of GM foods","year":2003,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Risk analysis (engineering); Product (mathematics); Production (economics); Supply chain; Risk management; Marketing; Food safety; Biotechnology; Economics; Finance; Food science; Chemistry; Biology; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004461471,0.0001356366,0.0003503039,0.00139294,0.00003144683,0.000001520129,0.0001512022,0.004071282,0.0002356492],"category_scores_gemma":[0.0003413689,0.0001221227,0.00005998386,0.001623531,0.0001840014,0.0000150493,0.00007401715,0.001861977,0.00002559926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003418051,"about_ca_system_score_gemma":0.00001206372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001503862,"about_ca_topic_score_gemma":0.00003009382,"domain_scores_codex":[0.9989109,0.00004847633,0.0003277922,0.0003005104,0.00007875919,0.0003335685],"domain_scores_gemma":[0.9993691,0.00004892597,0.00006592086,0.0004543617,0.0000194336,0.00004226241],"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":[0.0005236776,0.0005743778,0.01413955,0.0001941947,0.0002667107,0.0004416494,0.0003376718,0.00003032351,0.2320674,0.178423,0.001729392,0.571272],"study_design_scores_gemma":[0.003775783,0.001231714,0.0207316,0.0005474092,0.0001435865,0.0005845239,0.0006646827,0.0001515152,0.8065013,0.001897165,0.1632472,0.0005234721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052558,0.001368373,0.0007209345,0.04952123,0.0002835643,0.0001791507,0.000002693487,0.000394464,0.04227382],"genre_scores_gemma":[0.982366,0.0003473695,0.01556049,0.0004128239,0.000008779209,0.000008542806,0.000002965131,0.00001705052,0.001275991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5744339,"threshold_uncertainty_score":0.9972216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485683329647231,"score_gpt":0.2870476751448699,"score_spread":0.2721908418483976,"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."}}