{"id":"W116381491","doi":"10.37757/mr2010.v12.n3.8","title":"Cuba and Brazil: An Important Example of South-South Collaboration in Health Biotechnology","year":2010,"lang":"en","type":"article","venue":"MEDICC Review","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; International Development Research Centre; University of Toronto; University Health Network; Ontario Genomics Institute","keywords":"Government (linguistics); Politics; South–South cooperation; Economic growth; Developing country; Political science; Capacity building; Capacity development; Business; Biotechnology; Environmental planning; Geography; China; Economics; Biology; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001114213,0.0001126999,0.0005818052,0.0001634445,0.00003403315,0.000001902179,0.00008843996,0.001500733,0.0001260821],"category_scores_gemma":[0.0003659251,0.00008177909,0.00002878892,0.0005459583,0.0002914747,0.00003442534,0.00003092275,0.001731974,0.000005992709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117933,"about_ca_system_score_gemma":0.000207725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287552,"about_ca_topic_score_gemma":0.0002940333,"domain_scores_codex":[0.9987547,0.00005845639,0.0006226011,0.0002566248,0.000119347,0.0001882439],"domain_scores_gemma":[0.9991155,0.00002097019,0.0002704977,0.0004415069,0.00004551023,0.0001060491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002438446,0.001061359,0.1771767,0.03323311,0.0002949885,0.0003143675,0.008505343,3.036195e-7,0.04051468,0.09546473,0.01102159,0.632169],"study_design_scores_gemma":[0.004261424,0.002545574,0.02436961,0.01292594,0.0003032536,0.0007946806,0.001172034,0.0002221703,0.007742689,0.001015602,0.9441566,0.0004903586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5219331,0.2371547,0.0002088964,0.238046,0.0004930568,0.001705622,0.00001596851,0.0001921548,0.0002504755],"genre_scores_gemma":[0.6542732,0.3356033,0.002552459,0.007314662,0.00006226396,0.00003202643,0.00005515856,0.00002239775,0.00008450269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331351,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541003443073035,"score_gpt":0.3244903947407923,"score_spread":0.309080360310062,"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."}}