{"id":"W2405211884","doi":"10.17146/jpen.2015.17.2.2608","title":"APLIKASI DATA PENGINDERAAN JAUH DAN SIG DALAM PEMILIHAN TAPAK POTENSIAL PLTN KALIMANTAN BARAT","year":2015,"lang":"id","type":"article","venue":"Jurnal Pengembangan Energi Nuklir","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Geography; Humanities; Art","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":[0.009599596,0.0009095061,0.0009848858,0.00338897,0.001706503,0.007588397,0.00142581,0.00128134,0.0489968],"category_scores_gemma":[0.03032609,0.0006829082,0.001152012,0.005850291,0.001479245,0.004497142,0.002312136,0.002139019,0.01762243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003226477,"about_ca_system_score_gemma":0.006073923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02741631,"about_ca_topic_score_gemma":0.03442351,"domain_scores_codex":[0.9911097,0.002036702,0.001206499,0.001434968,0.003701779,0.0005103608],"domain_scores_gemma":[0.9571451,0.01668328,0.003131297,0.004911094,0.01715862,0.0009706062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001379278,0.000520075,0.2215351,0.005569162,0.0005070796,0.001547431,0.02259211,0.005113388,0.01691517,0.02825934,0.1606186,0.5354433],"study_design_scores_gemma":[0.00009923661,0.0004017707,0.2003995,0.001736047,0.0005054413,0.0009483625,0.04044186,0.007107647,0.01704371,0.02265429,0.7083287,0.0003333408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2804451,0.00501511,0.1569003,0.03007755,0.003579529,0.003198277,0.1236753,0.006825145,0.3902838],"genre_scores_gemma":[0.7087692,0.004382549,0.1048135,0.003159702,0.000678278,0.002438449,0.05120069,0.002004486,0.1225531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0489968,"threshold_uncertainty_score":0.1639106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664466800730283,"score_gpt":0.2555082105558545,"score_spread":0.2088635425485517,"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."}}