{"id":"W2889603907","doi":"10.31849/forestra.v10i1.611","title":"PEMETAAN AREAL POTENSI KONFLIK IZIN USAHA PEMANFAATAN HASIL HUTAN KAYU HUTAN TANAMAN (IUPHHK HT) BERBASIS SISTEM INFORMASI GEOGRAFIS (SIG) PADA PT. RAPP ESTATE MANDAU","year":2018,"lang":"id","type":"article","venue":"Wahana Forestra Jurnal Kehutanan","topic":"Agricultural and Environmental Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Estate; Forestry; Geography; Physics; Political science; Law","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":[0.001030824,0.000479427,0.0004032007,0.0009287388,0.002196389,0.003872331,0.0008339738,0.0009689337,0.08030463],"category_scores_gemma":[0.001778361,0.0003889989,0.0003148454,0.001411948,0.0007791588,0.002231339,0.002697409,0.0008859163,0.01925991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640131,"about_ca_system_score_gemma":0.00424776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03787299,"about_ca_topic_score_gemma":0.0845501,"domain_scores_codex":[0.999112,0.00009435938,0.0000318344,0.0001770303,0.0004700328,0.0001148038],"domain_scores_gemma":[0.9987642,0.0001946112,0.00008361546,0.0001832672,0.0005652644,0.0002090659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000618815,0.0002361942,0.0401959,0.001069378,0.00007453986,0.001607938,0.01124468,0.001558998,0.04605367,0.02979599,0.2868164,0.5807276],"study_design_scores_gemma":[0.00002290763,0.0001431472,0.03955737,0.0001238694,0.00003884594,0.0005211576,0.004675823,0.001112001,0.009546618,0.002123332,0.9420881,0.00004669232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2415601,0.003529719,0.02404349,0.01085197,0.00117056,0.0006215313,0.008932374,0.006357731,0.7029326],"genre_scores_gemma":[0.3846006,0.002208438,0.02889975,0.0007272942,0.0002119124,0.0002987106,0.005444908,0.0009403844,0.576668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08030463,"threshold_uncertainty_score":0.2686457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722388259790065,"score_gpt":0.2428414478686363,"score_spread":0.2256175652707356,"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."}}