{"id":"W4381621759","doi":"10.31315/psb.v4i1.8824","title":"Analisis Nilai Laju Erosi dengan Menggunakan Metode Petak Kecil Pada Lahan Reklamasi di Desa Keraitan, Kecamatan Bengalon, Kabupaten Kutai Timur, Provinsi Kalimantan Timur (Studi Kasus PT. Darma Henwa Bengalon Coal Project)","year":2023,"lang":"id","type":"article","venue":"Prosiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Physics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004178696,0.002573038,0.002218721,0.001189928,0.003674641,0.001480543,0.002762627,0.0009830404,0.00003297535],"category_scores_gemma":[0.0005657008,0.002416224,0.001032165,0.003475647,0.001009287,0.001671484,0.003250436,0.002587534,0.001028829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002184934,"about_ca_system_score_gemma":0.0005287302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030679,"about_ca_topic_score_gemma":0.001095514,"domain_scores_codex":[0.9845819,0.001333942,0.002505333,0.003952232,0.003743236,0.003883302],"domain_scores_gemma":[0.9941772,0.0006997955,0.001262199,0.002177408,0.0003473276,0.001336105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008833661,0.001722786,0.01289272,0.001555764,0.001116206,0.001657864,0.009398017,0.0007520783,0.915037,0.0004619303,0.05089907,0.003623241],"study_design_scores_gemma":[0.004115474,0.002003156,0.0401619,0.002314515,0.001489758,0.0002680447,0.007723185,0.003326284,0.8867136,0.0002488585,0.04758044,0.004054787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851943,0.002134703,0.00009719675,0.002097748,0.001858799,0.005180627,0.001351495,0.001585784,0.0004993701],"genre_scores_gemma":[0.9826806,0.001524494,0.001087555,0.0005502407,0.001334801,0.0006236161,0.002058021,0.0006014089,0.009539307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02832336,"threshold_uncertainty_score":0.999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951939692310436,"score_gpt":0.2662356364770629,"score_spread":0.2367162395539585,"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."}}