{"id":"W2289565257","doi":"10.15017/14857","title":"Assessment of Cambodian forest concession management planning based on criteria and indicators of Montreal Process : a case study of CFC Company","year":2005,"lang":"en","type":"article","venue":"Kyushu University Institutional Repository (QIR) (Kyushu University)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan International Cooperation Agency","keywords":"Sustainable forest management; Forest management; Deforestation (computer science); Sustainable management; Environmental resource management; Logging; Business; Stock (firearms); Natural resource; Scale (ratio); Forest inventory; Agroforestry; Environmental planning; Geography; Forestry; Environmental science; Sustainability; Ecology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001489315,0.0002053082,0.0002949302,0.0006326996,0.0007096941,0.00001290798,0.0003777129,0.00008726148,0.00006377859],"category_scores_gemma":[0.00000510917,0.0002276467,0.00008519385,0.0006818731,0.000694442,0.0003214469,0.0003958149,0.0001328807,0.000001357403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149429,"about_ca_system_score_gemma":0.00009286251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004118086,"about_ca_topic_score_gemma":0.001017147,"domain_scores_codex":[0.9983815,0.0001415943,0.0002628761,0.0004312957,0.0005889926,0.0001937224],"domain_scores_gemma":[0.99905,0.00006164626,0.0003902223,0.0002847023,0.0000628756,0.0001505853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003060444,0.001384631,0.9076199,0.0001260929,0.0001268649,0.002433584,0.002103469,0.08467816,0.0001220447,0.0003996858,0.00007242765,0.0006271108],"study_design_scores_gemma":[0.003425211,0.0004848145,0.9481447,0.0001480259,0.0002957373,0.00003077975,0.03328596,0.009188726,0.0001120004,0.000003728826,0.004618888,0.0002614493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446084,0.00000606826,0.0004074068,0.00004117841,0.00007251307,0.0003971643,0.0000357294,0.0000254981,0.05440604],"genre_scores_gemma":[0.9986354,0.000006668395,0.0005341299,0.00001936653,0.00001256582,3.620362e-7,0.00001339554,0.000004751656,0.0007733241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07548943,"threshold_uncertainty_score":0.9283162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056443046394243,"score_gpt":0.2291814238746779,"score_spread":0.2186169934107355,"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."}}