{"id":"W2060555562","doi":"10.1186/1746-4269-5-29","title":"Enhancing innovation between scientific and indigenous knowledge: pioneer NGOs in India","year":2009,"lang":"en","type":"article","venue":"Journal of Ethnobiology and Ethnomedicine","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Traditional knowledge; Capacity building; Indigenous; Knowledge management; Sociology of scientific knowledge; Social capital; Tamil; Participant observation; Ethnomedicine; Public relations; Business; Sociology; Political science; Economic growth; Social science; Ecology; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018333,0.0001428544,0.0004044021,0.0001637516,0.0002904031,0.00003062619,0.0001296424,0.0002815083,0.0000193604],"category_scores_gemma":[0.0001338514,0.00005118213,0.00003164114,0.0009114265,0.0001701117,0.0001332312,0.00002723755,0.0004768334,0.000003116656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000320842,"about_ca_system_score_gemma":0.00003622948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000316328,"about_ca_topic_score_gemma":0.0003364035,"domain_scores_codex":[0.9986906,0.0001054603,0.0006216352,0.0001924483,0.0001046818,0.0002851836],"domain_scores_gemma":[0.9990848,0.0002010023,0.0003227965,0.00003309275,0.0002715806,0.00008670053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004383139,0.0001411612,0.1189928,0.00003795533,0.00003110581,0.00003167507,0.01646638,3.287333e-7,0.7386965,0.0002561458,0.0003240324,0.1249781],"study_design_scores_gemma":[0.0004397747,0.001161707,0.9873825,0.0002059494,0.00001834278,0.0001248348,0.00222297,4.479704e-7,0.001994208,0.0007725427,0.005544339,0.0001323867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932479,0.005043503,0.000003827573,0.0009143202,0.0003072936,0.0001520697,0.000004952459,0.000008724832,0.0003173748],"genre_scores_gemma":[0.9985422,0.0001257672,0.00002967815,0.0001396494,0.0009163406,0.000001167416,0.00002396826,6.872309e-7,0.0002205698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8683897,"threshold_uncertainty_score":0.2233575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603554845577373,"score_gpt":0.2574180578624972,"score_spread":0.2413825094067235,"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."}}