{"id":"W1278386691","doi":"","title":"Genetic Resources and Traditional Knowledge: Case Studies and Conflicting Interests","year":2012,"lang":"en","type":"book","venue":"","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traditional knowledge; Intellectual property; Genetic resources; Indigenous; Environmental ethics; Commons; Political science; Politics; Indigenous rights; Normative; Sociology; Geography; Anthropology; Law; Ecology; Philosophy; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0145478,0.0005737087,0.0008441246,0.002347242,0.02344075,0.00822981,0.004485419,0.009512084,0.00516637],"category_scores_gemma":[0.01546125,0.0005462184,0.0005915539,0.008532806,0.01809851,0.008023242,0.008129832,0.005603804,0.0005309314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00866139,"about_ca_system_score_gemma":0.002725151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01442334,"about_ca_topic_score_gemma":0.03360588,"domain_scores_codex":[0.9840848,0.01299632,0.0002362949,0.0003613367,0.001265626,0.001055572],"domain_scores_gemma":[0.9719992,0.02580854,0.0005776326,0.000575733,0.0004772985,0.0005615521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001748585,0.0009322052,0.004818012,0.0005448317,0.00003565361,0.03799867,0.4129549,0.001364707,0.0003812218,0.4859336,0.02031492,0.03454638],"study_design_scores_gemma":[0.0001122336,0.0002579244,0.003021571,0.001175337,0.00005515071,0.01386608,0.6612164,0.001867887,0.0009080602,0.08898494,0.2284615,0.00007286723],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6661864,0.01255835,0.009196414,0.02233133,0.0003105,0.0006021672,0.000239186,0.00003974946,0.2885359],"genre_scores_gemma":[0.9339783,0.01191146,0.01110731,0.004386689,0.0001199321,0.0006864772,0.0001530459,0.00004229584,0.03761451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02344075,"threshold_uncertainty_score":0.07693708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2639491369832418,"score_gpt":0.2812221063406442,"score_spread":0.01727296935740236,"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."}}