{"id":"W1528017409","doi":"","title":"The Politics of Genetically Modified Organisms: Global Rules, Local Needs","year":2009,"lang":"en","type":"article","venue":"School for International Training Digital Collections (School for International Training)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Prosperity; European union; Exportation; Interdependence; International trade; Developing country; Skepticism; Agriculture; Political science; Development economics; Political economy; Economics; Economic growth; Law; Geography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005803729,0.0003765955,0.0003539024,0.0001590818,0.001017002,0.001123482,0.001629082,0.0002382491,0.0003390256],"category_scores_gemma":[0.006132062,0.0002115426,0.00049073,0.0008278352,0.0003656744,0.0003982253,0.0001370199,0.0003284916,0.00003768414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326843,"about_ca_system_score_gemma":0.0004490222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003219407,"about_ca_topic_score_gemma":0.00006872375,"domain_scores_codex":[0.9964083,0.00004617111,0.001030211,0.000580086,0.001125297,0.0008098901],"domain_scores_gemma":[0.9953831,0.001062396,0.000278031,0.0001743177,0.00260317,0.0004989138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002360797,0.001270268,0.001306593,0.00002559802,0.001654476,0.000008147083,0.0008438177,0.002904247,0.01807431,0.4958891,0.05268718,0.4229754],"study_design_scores_gemma":[0.005710135,0.005178407,0.03480068,0.0001865348,0.0001504437,0.0002114991,0.01220451,0.02264839,0.003681251,0.533062,0.3804781,0.001688023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5995889,0.000338124,0.1165631,0.03982867,0.01171405,0.005912581,0.02185564,0.000845137,0.2033538],"genre_scores_gemma":[0.9804047,0.00002510465,0.004503257,0.0004657609,0.001776994,0.000214684,0.0007734798,0.00001175043,0.01182421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4212874,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05145881842674861,"score_gpt":0.2959388819270036,"score_spread":0.244480063500255,"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."}}