{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009974635,0.0001391689,0.0001862091,0.0000720467,0.0001724132,0.0003316498,0.0008621845,0.00008566846,0.0006516321],"category_scores_gemma":[0.000154104,0.00005906022,0.00003539833,0.0006160768,0.00006037637,0.0001034744,0.0008705609,0.00008181436,0.00004590484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001471082,"about_ca_system_score_gemma":0.000004801079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005994013,"about_ca_topic_score_gemma":0.0005393483,"domain_scores_codex":[0.9985884,0.000007116183,0.0002638246,0.0003418177,0.0003832284,0.0004155911],"domain_scores_gemma":[0.9992008,0.0001918757,0.00004794752,0.0001154964,0.00007771299,0.0003662099],"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":[0.0001005995,0.0001169019,0.05358061,0.00005479652,0.00002893876,0.00000308212,0.03177811,0.000218113,0.7165183,0.0005324304,0.0007304523,0.1963376],"study_design_scores_gemma":[0.0001077174,0.0007614871,0.9315178,0.00006234695,0.000003569119,0.000008565178,0.006312313,0.0001304909,0.03827217,0.0005924685,0.02196607,0.000264967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935606,0.00007792034,0.00001277245,0.004321423,0.00001642502,0.0004220417,0.00001627512,0.00002829859,0.001544255],"genre_scores_gemma":[0.9977814,0.00001677437,0.0005309805,0.0009425441,0.0001599008,0.00009534682,0.000002262347,0.000001794286,0.0004690186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8779372,"threshold_uncertainty_score":0.9061195,"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."}}