{"id":"W2196944416","doi":"","title":"KAJIAN PEROLEHAN KARBON SEBAGAI DAMPAK INTERVENSI KASUS: EKS-PLG BLOK A, MENTANGAI, KALIMANTAN TENGAH (CARBON RESULT STUDY AS INTERVENTION IMPACT, CASE: EKS-PLG BLOCK A, MENTANGAI, CENTRAL BORNEO)","year":2008,"lang":"id","type":"article","venue":"Jurnal Agromet Indonesia","topic":"Forest Ecology and Conservation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Carbon stock; Carbon sequestration; Stock (firearms); Climate change mitigation; Environmental science; Peat; Geography; Climate change; Environmental protection; Carbon dioxide; Ecology","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001885376,0.001392193,0.001511405,0.0003916243,0.001972006,0.000438578,0.001159318,0.0009039793,0.001144453],"category_scores_gemma":[0.0002458529,0.0008097581,0.001299386,0.001947407,0.0006420033,0.0008893751,0.0005542891,0.00177885,0.0002127175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117006,"about_ca_system_score_gemma":0.0001870162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144937,"about_ca_topic_score_gemma":0.01673493,"domain_scores_codex":[0.9901405,0.002183364,0.002419036,0.001798594,0.001328333,0.002130199],"domain_scores_gemma":[0.9958844,0.0004578083,0.001515934,0.0005695648,0.0004505195,0.001121793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003305783,0.008998311,0.9327003,0.0001255115,0.001948222,0.01646051,0.006847107,0.00003254891,0.02052986,0.00008896995,0.005269996,0.003692833],"study_design_scores_gemma":[0.004523066,0.0116239,0.9511991,0.0003668694,0.0007513575,0.01272787,0.01461831,0.0003336132,0.001363614,0.0001258886,0.0009934359,0.001373009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903538,0.001251622,0.000001232292,0.00284666,0.001570044,0.002283161,0.0002694812,0.0002407446,0.001183287],"genre_scores_gemma":[0.994453,0.0003470115,0.00002042829,0.0007826604,0.001183432,0.0001375826,0.0005629279,0.0000367621,0.002476266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01916624,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060551940829828,"score_gpt":0.2630199774902167,"score_spread":0.2424144580819184,"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."}}