{"id":"W2886053328","doi":"","title":"Building a Latin American Coalition on Forests: Negotiation Barriers and Opportunities","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental law and policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deforestation (computer science); Latin Americans; Negotiation; Political science; Geopolitics; Climate change; Development economics; Economics; Law; Politics; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.03733544,0.0004862118,0.0005661743,0.00113525,0.01838654,0.01492194,0.002083952,0.004251596,0.008373371],"category_scores_gemma":[0.03147808,0.000494099,0.0005475372,0.001781127,0.009470568,0.01361986,0.01875083,0.007010255,0.0007658817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009360187,"about_ca_system_score_gemma":0.01544958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277498,"about_ca_topic_score_gemma":0.02153536,"domain_scores_codex":[0.9796626,0.01287293,0.0005263626,0.001213883,0.001723879,0.004000425],"domain_scores_gemma":[0.9803367,0.013038,0.001375491,0.0007533153,0.00148261,0.003013954],"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":[0.0001412777,0.0001621092,0.007862336,0.0003938085,0.00005141102,0.001432574,0.1531767,0.0009624329,0.001216654,0.7307428,0.01999941,0.08385859],"study_design_scores_gemma":[0.00006040664,0.0000545111,0.004307964,0.001147243,0.00003473082,0.0003059412,0.2167608,0.001500093,0.0006270747,0.1783056,0.5968109,0.00008475857],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2338881,0.01376868,0.03607139,0.3398365,0.001888449,0.0003045089,0.00009413447,0.0001390122,0.3740093],"genre_scores_gemma":[0.9542919,0.002810108,0.008141628,0.01784101,0.0002239853,0.000248718,0.00006093375,0.00009526304,0.01628642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03733544,"threshold_uncertainty_score":0.1974511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251369357400014,"score_gpt":0.2846295569260356,"score_spread":0.2521158633520355,"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."}}