{"id":"W4389953726","doi":"10.29244/jitl.25.2.56-63","title":"Analisis Penggunaan Lahan dan Pola Ruang Berbasis Koefisien Regim Aliran (KRA) pada DAS Air Bengkulu","year":2023,"lang":"id","type":"article","venue":"Jurnal Ilmu Tanah dan Lingkungan","topic":"Water and Land Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Forestry; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001638166,0.001056256,0.001005504,0.0005975676,0.001388874,0.0005541827,0.001856777,0.0003894778,0.0003355186],"category_scores_gemma":[0.0001394734,0.000982523,0.0007213347,0.002405494,0.0004678454,0.0008999084,0.001365719,0.001050367,0.001418728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006319829,"about_ca_system_score_gemma":0.00007519069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006180328,"about_ca_topic_score_gemma":0.00314664,"domain_scores_codex":[0.9924555,0.0004916858,0.001251903,0.001722574,0.001933704,0.002144603],"domain_scores_gemma":[0.9963871,0.0001535459,0.0005770848,0.00163865,0.00006277687,0.001180803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00071003,0.002313056,0.4715178,0.001636787,0.003024605,0.005796871,0.02979605,0.006834107,0.08741843,0.003080913,0.3275727,0.06029864],"study_design_scores_gemma":[0.002191018,0.0007756925,0.5274979,0.0007923429,0.0009912818,0.00007939454,0.009338751,0.002274056,0.01506325,0.0002621664,0.4384396,0.002294566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727816,0.0005247975,0.00005917969,0.005324723,0.0019585,0.0008799333,0.0001734799,0.0004702751,0.01782752],"genre_scores_gemma":[0.9796615,0.0009391215,0.0002546706,0.001732594,0.001150612,0.00004886939,0.0002991566,0.0001941769,0.01571935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108669,"threshold_uncertainty_score":0.9999112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677046740322469,"score_gpt":0.2549605682748354,"score_spread":0.2381901008716107,"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."}}