{"id":"W2086558064","doi":"10.3390/resources2020096","title":"Access to and Benefit Sharing of Plant Genetic Resources: Novel Field Experiences to Inform Policy","year":2013,"lang":"en","type":"article","venue":"Resources","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Guelph","keywords":"General partnership; Genetic resources; Agriculture; Indigenous; Business; Convention on Biological Diversity; Treaty; Field (mathematics); China; International regime; Political science; Economic growth; Environmental resource management; Economics; Geography; Biotechnology; Law; Finance; Biodiversity","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":[0.01914644,0.0004399258,0.0005275199,0.001504495,0.0194686,0.007122198,0.002444531,0.003483826,0.008063074],"category_scores_gemma":[0.01167006,0.0004331841,0.0002721056,0.00239069,0.02319427,0.01100869,0.008885135,0.004229105,0.0003938492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01017442,"about_ca_system_score_gemma":0.007450873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088997,"about_ca_topic_score_gemma":0.02483432,"domain_scores_codex":[0.9845527,0.01252819,0.0001602145,0.0006459196,0.0005377154,0.001575323],"domain_scores_gemma":[0.9863529,0.0110658,0.0004795021,0.0007943012,0.0005126548,0.0007948733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001915946,0.000904065,0.004178817,0.0002806695,0.00001097114,0.002490268,0.7820268,0.0003528733,0.001812295,0.1571532,0.005763977,0.04483444],"study_design_scores_gemma":[0.00004047989,0.0001500575,0.002425089,0.0002381494,0.000007364249,0.0003115669,0.8799093,0.0003989534,0.0006772783,0.03318858,0.08262414,0.00002893078],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8413979,0.001487294,0.008524712,0.02388737,0.0001370969,0.0005761138,0.0001388591,0.0000246608,0.123826],"genre_scores_gemma":[0.986722,0.0007100901,0.003228622,0.001159298,0.00002369043,0.0002482905,0.00003661048,0.00001669939,0.007854811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0194686,"threshold_uncertainty_score":0.1012573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180015898480165,"score_gpt":0.2753838211866302,"score_spread":0.2335836622018286,"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."}}