{"id":"W34542512","doi":"10.3390/ejihpe10030058","title":"Negotiating a standard material transfer agreement under the International Treaty on Plant Genetic Resources for Food and Agriculture: issues and concerns for Africa","year":2006,"lang":"en","type":"article","venue":"Comparative and International Law Journal of Southern Africa","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Negotiation; Treaty; Indigenous; Agriculture; Latin Americans; Political science; Realm; Genetic resources; International trade; International law; Law; Business; Ecology; Biotechnology; Biology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.000199832,0.0001644623,0.0002046001,0.00003242044,0.0002292643,0.0002445711,0.0002314952,0.00004149635,0.000171266],"category_scores_gemma":[0.00001208302,0.0001027944,0.00006387504,0.00002615178,0.0002425403,0.0001354797,0.00006459544,0.00008288495,0.000003193254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008520314,"about_ca_system_score_gemma":0.000005356582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406084,"about_ca_topic_score_gemma":0.0003609381,"domain_scores_codex":[0.9988835,0.00004267414,0.0003516952,0.0001977889,0.0003801263,0.000144173],"domain_scores_gemma":[0.9993734,0.0002449989,0.0001701347,0.00004882013,0.0001129588,0.00004970525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01455668,0.001278957,0.01079693,0.00009881917,0.003286839,0.00002820564,0.05708852,0.01773984,0.0485805,0.7709429,0.0714667,0.004135096],"study_design_scores_gemma":[0.006097921,0.004270278,0.009490716,0.0002446882,0.0002316667,0.0001593216,0.01287596,0.005282836,0.008425703,0.06323373,0.8890203,0.0006669057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672294,0.001346963,0.003354933,0.003159035,0.0004239323,0.0005626163,0.002904731,0.00001120376,0.02100718],"genre_scores_gemma":[0.9969863,0.00004168436,0.001119779,0.00007487836,0.0005133253,0.00002903978,0.00001918965,0.000009749652,0.001206097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8175536,"threshold_uncertainty_score":0.4191832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136287175059797,"score_gpt":0.2588762413583042,"score_spread":0.2275133696077063,"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."}}