{"id":"W2104445471","doi":"10.1111/j.1747-1796.2004.tb00213.x","title":"Bioprospecting, Genetic Patenting and Indigenous Populations","year":2004,"lang":"en","type":"article","venue":"The Journal of World Intellectual Property","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Bioprospecting; Indigenous; Context (archaeology); Library science; Commons; Intellectual property; Sociology; Political science; Management; Law; History; Computer science; Economics; Archaeology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002398187,0.0001624779,0.0002972627,0.001222861,0.001616587,0.00219583,0.000622898,0.001479968,0.005470431],"category_scores_gemma":[0.005107917,0.0001057121,0.0001824499,0.001694964,0.005625222,0.002550756,0.0009273651,0.0008757852,0.0001595183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154608,"about_ca_system_score_gemma":0.000856178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005138363,"about_ca_topic_score_gemma":0.008997049,"domain_scores_codex":[0.9990995,0.0004064697,0.00003790009,0.0001620505,0.0001587652,0.000135423],"domain_scores_gemma":[0.9946531,0.003249567,0.001070804,0.0004451716,0.0003620377,0.0002192827],"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":[0.000884002,0.001213624,0.1495189,0.0003876524,0.0002409147,0.003758067,0.01952274,0.002378984,0.01723363,0.5516863,0.001318693,0.2518565],"study_design_scores_gemma":[0.0001752813,0.001398852,0.3087285,0.0002560646,0.0002733302,0.004079784,0.02958515,0.004930729,0.005222791,0.6262764,0.01895645,0.0001167314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488946,0.002237938,0.002232252,0.001577972,0.00001144479,0.00001786542,0.00003233494,0.000005648635,0.04498994],"genre_scores_gemma":[0.9957326,0.0008506719,0.0005582509,0.0001153331,0.00001582522,0.000005342099,0.00001453135,0.000001246623,0.00270629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983834,"threshold_uncertainty_score":0.01830041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328289931440281,"score_gpt":0.2343169597961724,"score_spread":0.1014879666521443,"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."}}