{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374103,0.0003779017,0.0001872503,0.001902972,0.001068396,0.001204445,0.0005584142,0.0006192095,0.001205501],"category_scores_gemma":[0.002350116,0.0001625325,0.0002383132,0.002540281,0.0005982407,0.0006634437,0.0005792704,0.0003755055,0.00004814945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006979443,"about_ca_system_score_gemma":0.002485846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2805591,"about_ca_topic_score_gemma":0.3575439,"domain_scores_codex":[0.9994048,0.0002207052,0.00003031817,0.00006607173,0.0001189012,0.0001592969],"domain_scores_gemma":[0.9986572,0.0005818877,0.0001865381,0.00005547698,0.0003067143,0.0002121573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003417175,0.0006151853,0.822677,0.0002793226,0.0000953795,0.01381795,0.01327165,0.08621476,0.003690429,0.007447758,0.002095715,0.04945334],"study_design_scores_gemma":[0.00003272901,0.0004294182,0.7904701,0.0001232467,0.00005163591,0.0007819588,0.04282101,0.1552653,0.003094114,0.0008623156,0.005991974,0.0000761312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971507,0.00006688994,0.000421337,0.00006722927,0.00000129685,0.00008247297,0.0001480728,0.000005100565,0.002056953],"genre_scores_gemma":[0.9984429,0.00005296337,0.0008801257,0.000007007428,0.000001080632,0.00002238855,0.0001293873,0.000001793134,0.0004623161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805591,"threshold_uncertainty_score":0.557852,"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."}}