{"id":"W2487734547","doi":"10.3126/jfl.v13i1.15364","title":"Nepal’s REDD+ Readiness Preparation and Multi-Stakeholder Consultation Challenges","year":2016,"lang":"en","type":"article","venue":"Journal of Forest and Livelihood","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Deliberation; Stakeholder; Reducing emissions from deforestation and forest degradation; Preparedness; Politics; Government (linguistics); Business; Stakeholder analysis; Political science; Public relations; Stakeholder engagement; Environmental resource management; Public administration; Economics; Carbon stock","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":[0.03454733,0.0003918374,0.0004494397,0.001257715,0.01363607,0.0114828,0.002660904,0.003863718,0.006878958],"category_scores_gemma":[0.03408056,0.0006488702,0.0004456403,0.001821628,0.009126633,0.008436523,0.0113706,0.005377652,0.0007509041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01375728,"about_ca_system_score_gemma":0.02668975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424662,"about_ca_topic_score_gemma":0.02466959,"domain_scores_codex":[0.9500468,0.039411,0.001146495,0.001785374,0.003369131,0.004241248],"domain_scores_gemma":[0.934043,0.05658126,0.001724153,0.001413092,0.00358175,0.002656602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001020909,0.0001866147,0.009120397,0.002490333,0.00004553802,0.008439608,0.7105864,0.001058255,0.002694605,0.1506072,0.01714663,0.09752239],"study_design_scores_gemma":[0.00001700437,0.00006775301,0.006323125,0.001520107,0.00001430245,0.001576568,0.7482845,0.001626011,0.0009904676,0.03226227,0.207226,0.00009183556],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6207897,0.004300707,0.02355555,0.1823399,0.0004185272,0.001463144,0.0003713791,0.0001544811,0.1666067],"genre_scores_gemma":[0.9793301,0.0008626968,0.005880787,0.007257946,0.00003461603,0.0005809552,0.00006500002,0.00004304175,0.005944654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03454733,"threshold_uncertainty_score":0.1827059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813747189384013,"score_gpt":0.2291340429484165,"score_spread":0.1909965710545764,"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."}}