{"id":"W2026077269","doi":"10.1504/ijtlid.2012.044883","title":"Channels of interaction in health biotechnology networks in South Africa: who benefits and how?","year":2012,"lang":"en","type":"article","venue":"International Journal of Technological Learning Innovation and Development","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of the Western Cape; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Poverty; Promotion (chess); Inequality; Business; Economic growth; Political science; Public economics; Biotechnology; Economics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008216423,0.0000844411,0.0002518303,0.001337875,0.00002530883,0.000007891344,0.00007809651,0.0009288466,0.00000833749],"category_scores_gemma":[0.0004370138,0.00006500279,0.00001375337,0.0005486015,0.0001185562,0.00009543478,0.0000851739,0.001899197,4.310917e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008870424,"about_ca_system_score_gemma":0.00004105962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001108018,"about_ca_topic_score_gemma":6.543402e-7,"domain_scores_codex":[0.9990571,0.00002818017,0.0005169428,0.00009812531,0.0001476839,0.0001520137],"domain_scores_gemma":[0.9992854,0.00003935287,0.0004578975,0.00003768161,0.0001529252,0.00002672385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000421738,0.0003947432,0.3440222,0.00004806961,0.000165136,0.00003853499,0.002111794,0.0006459653,0.00192483,0.09287893,0.00004968036,0.5572984],"study_design_scores_gemma":[0.00893247,0.002194093,0.7776045,0.004907691,0.00002430715,0.002387423,0.01130707,0.003429491,0.03480356,0.0009416118,0.1528233,0.000644511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631895,0.001882607,0.005360629,0.02919676,0.000185921,0.00008913108,2.08877e-7,0.00003055716,0.00006470834],"genre_scores_gemma":[0.9954423,0.001091308,0.003230454,0.0001736285,0.0000212879,0.0000026176,0.000002821402,0.000004085466,0.00003155389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5566539,"threshold_uncertainty_score":0.8251169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358583797209578,"score_gpt":0.2859110510817527,"score_spread":0.250052671360795,"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."}}