{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001550472,0.00009753322,0.0001745115,0.00003528748,0.0001636514,0.00005784117,0.0002056862,0.0001334281,0.00003170595],"category_scores_gemma":[0.00008468213,0.00002280331,0.00008060552,0.0003500784,0.00001787529,0.0001410303,0.00002353887,0.0009802652,0.00003926222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374849,"about_ca_system_score_gemma":0.0005263594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222625,"about_ca_topic_score_gemma":0.2126624,"domain_scores_codex":[0.9980631,0.00009548346,0.00028305,0.000132132,0.0001981111,0.001228085],"domain_scores_gemma":[0.9996107,0.00005668113,0.0001455494,0.00002696223,0.00006556368,0.00009459587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002630974,0.0005302324,0.8520569,9.178954e-7,0.0000894481,0.00001731608,0.0009405,0.0001037938,0.0004675597,0.0353282,0.0004150823,0.1100237],"study_design_scores_gemma":[0.0008752667,0.0003682049,0.712383,0.00001514401,0.00001221722,0.00006265563,0.002153941,0.00006903934,0.00001525068,0.269413,0.01438137,0.000250872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902655,0.0004108564,0.000007259565,0.007457765,0.0001668686,0.00009286848,0.00001668356,0.00001771144,0.001564416],"genre_scores_gemma":[0.9937398,0.0008703007,0.00001315742,0.0001119423,0.0003114846,0.000002177012,0.00004662016,0.000001094579,0.004903427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2340848,"threshold_uncertainty_score":0.8017045,"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."}}