{"id":"W3125269847","doi":"","title":"Associations in Name Only: Small Loggers’ Associations in Guyana","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agency (philosophy); Logging; Business; Government (linguistics); State (computer science); Discretion; Politics; Accounting; Public administration; Geography; Political science; Public economics; Law; Economics; Forestry; Sociology; Social science","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":[0.0003367718,0.0001315536,0.0001548189,0.0008754677,0.003831017,0.001604946,0.0005600516,0.0006719852,0.010951],"category_scores_gemma":[0.0006511671,0.0002427808,0.000107026,0.002074983,0.002302265,0.001304005,0.003004062,0.0006678581,0.0008412104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002568131,"about_ca_system_score_gemma":0.001620143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06041205,"about_ca_topic_score_gemma":0.206597,"domain_scores_codex":[0.999486,0.00008910897,0.00001144946,0.00006099906,0.00003965736,0.0003127314],"domain_scores_gemma":[0.9989576,0.0002154349,0.0003691445,0.00006335436,0.00006733503,0.0003271378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009449382,0.0002636232,0.6335271,0.0005308565,0.00004438534,0.02569666,0.2324635,0.0004540882,0.007328434,0.02519185,0.01092278,0.06263187],"study_design_scores_gemma":[0.00002515927,0.0001385673,0.7967271,0.000126056,0.00002395946,0.002436967,0.1545903,0.0002421214,0.000447749,0.001128599,0.04407556,0.000037886],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917874,0.0001922268,0.00007105018,0.0005350349,0.000007427119,0.00001042793,0.00007926954,0.00001036739,0.007306881],"genre_scores_gemma":[0.9961035,0.00007389828,0.00006036742,0.00008373381,0.000002490896,0.00000843942,0.00006103941,0.000002681061,0.003603909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06041205,"threshold_uncertainty_score":0.1201208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347150307103478,"score_gpt":0.2276678870906322,"score_spread":0.2041963840195974,"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."}}