{"id":"W6977245515","doi":"10.6084/m9.figshare.26074108","title":"Additional file 1 of Governance of the wildlife trade and the prevention of emerging zoonoses: a mixed methods network analysis of transnational organisations, silos, and power dynamics","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; York University","funders":"","keywords":"Corporate governance; Power (physics); Network analysis; Social network analysis; Wildlife","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001818965,0.0005847706,0.0007150004,0.002610245,0.001102453,0.001748395,0.001780035,0.001152819,0.7851177],"category_scores_gemma":[0.03671896,0.0004652734,0.0006240499,0.005825301,0.0003093852,0.002072613,0.001002349,0.0008760719,0.05511276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318841,"about_ca_system_score_gemma":0.002559861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03938613,"about_ca_topic_score_gemma":0.06918727,"domain_scores_codex":[0.9992913,0.0002437225,0.00009103231,0.0001421485,0.0001205531,0.000111181],"domain_scores_gemma":[0.9578488,0.03540987,0.001956727,0.001225416,0.002875481,0.0006836471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002348491,0.0003611292,0.02246471,0.004298635,0.0001302041,0.0001713385,0.001184556,0.002707758,0.00008941589,0.007485069,0.9423653,0.01850688],"study_design_scores_gemma":[0.004905323,0.0005241396,0.1877504,0.007784911,0.0006977161,0.0006901874,0.0169275,0.0150523,0.0007337604,0.04500382,0.7196475,0.0002824835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001437516,0.00002199716,0.0005625085,0.0001095383,0.00001272721,0.0001420301,0.9958982,0.00005441589,0.001761055],"genre_scores_gemma":[0.07739771,0.000271818,0.01692362,0.0004468297,0.0000793127,0.009170319,0.8751866,0.0004085907,0.02011516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7851177,"threshold_uncertainty_score":0.3065035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943330286214267,"score_gpt":0.2895080744318357,"score_spread":0.2700747715696931,"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."}}