{"id":"W1576175401","doi":"10.1002/jid.3027","title":"Getting to ‘Yes’: Governing Genetically Modified Crops in Uganda","year":2014,"lang":"en","type":"article","venue":"Journal of International Development","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University","funders":"","keywords":"Genetically modified organism; Legislature; Genetically modified crops; Organism; Genetically engineered; Political science; Biotechnology; Business; Biology; Transgene; Gene; Genetics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01026822,0.0002101063,0.0002020668,0.001415539,0.003187702,0.005256156,0.001310905,0.003045367,0.002975098],"category_scores_gemma":[0.01870809,0.0003343634,0.0002222224,0.001210524,0.006541412,0.003010083,0.005023073,0.003361517,0.0002998138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00525721,"about_ca_system_score_gemma":0.007346476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004690966,"about_ca_topic_score_gemma":0.005452982,"domain_scores_codex":[0.9950591,0.001973112,0.0003734513,0.0005540712,0.00117791,0.0008624277],"domain_scores_gemma":[0.9865205,0.006805033,0.003509619,0.0009632886,0.001582861,0.0006187406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001876557,0.0001395377,0.0240898,0.0007925667,0.00005669643,0.002888543,0.03011578,0.003455898,0.01148555,0.7855308,0.01089938,0.1303579],"study_design_scores_gemma":[0.00006301932,0.0004494141,0.04915126,0.001853207,0.00008390353,0.001279096,0.01258751,0.002351398,0.01499104,0.1461651,0.7707856,0.000239433],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.697736,0.01019164,0.02546172,0.04272358,0.000486953,0.0004708412,0.0001901925,0.0001361338,0.222603],"genre_scores_gemma":[0.9684397,0.001977846,0.006238926,0.003467083,0.00006447458,0.0001663417,0.00003332855,0.00002275765,0.01958963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026822,"threshold_uncertainty_score":0.05430424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05741778388810406,"score_gpt":0.2294088437369073,"score_spread":0.1719910598488033,"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."}}