{"id":"W2133349686","doi":"","title":"Using Traditional Knowledge for Commercial Innovations: Incentives, Bargaining and Community Profits","year":2005,"lang":"en","type":"book","venue":"OpenDocs (Institute of Development Studies)","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre; Direktoratet for Utviklingssamarbeid; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Incentive; Business; Industrial organization; Microeconomics; Economics; Knowledge management; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002093658,0.0004634311,0.0004196235,0.001266172,0.001533809,0.009212964,0.0009567027,0.004060136,0.0196853],"category_scores_gemma":[0.004892177,0.0003183708,0.0002870366,0.001959488,0.008027866,0.0122497,0.002089086,0.002557325,0.00152541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003121232,"about_ca_system_score_gemma":0.002649711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099764,"about_ca_topic_score_gemma":0.003137327,"domain_scores_codex":[0.998963,0.0002936359,0.00002639597,0.0001232075,0.00044333,0.0001503745],"domain_scores_gemma":[0.9960784,0.003057435,0.000226285,0.0002924269,0.0002004052,0.0001449507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001052821,0.00003018726,0.0000895976,0.00003282779,0.000002877345,0.00002405132,0.0003202478,0.0005061263,0.0001008114,0.9725424,0.004349561,0.02199089],"study_design_scores_gemma":[0.00001017183,0.00001450053,0.0003003064,0.00008020915,0.000003555787,0.00004582443,0.0002681168,0.00103401,0.000248854,0.9637545,0.03423284,0.000007059075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01617344,0.01075723,0.01555609,0.007143352,0.0001442104,0.0000508561,0.00003403758,0.00005439262,0.9500865],"genre_scores_gemma":[0.7591208,0.01152893,0.01013615,0.0009704307,0.0005880349,0.0001452035,0.00006600691,0.00007519664,0.2173691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0196853,"threshold_uncertainty_score":0.06585389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5355716477276822,"score_gpt":0.3368557967283312,"score_spread":0.198715850999351,"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."}}