{"id":"W2804197815","doi":"10.29122/alami.v2i1.2826","title":"ANALISIS KAWASAN RAWAN LONGSOR DAN KETERKAITANNYA TERHADAP KUALITAS TANAH DAN PENGGUNAAN LAHAN (Kasus di Kawasan Agribisnis Juhut Kabupaten Pandeglang)","year":2018,"lang":"en","type":"article","venue":"Jurnal Alami Jurnal Teknologi Reduksi Risiko Bencana","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Landslide; Geography; Land use; Soil fertility; Agriculture; Wet season; Dry season; Forestry; Agroforestry; Environmental science; Cartography; Ecology; Soil water; Geology","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"],"consensus_categories":[],"category_scores_codex":[0.0009796373,0.001144714,0.001095304,0.0002018002,0.001666069,0.0006678104,0.002080681,0.0005552641,0.0007445605],"category_scores_gemma":[0.0001968968,0.0004921778,0.0006677664,0.001442343,0.0006308639,0.0008686191,0.000791465,0.000945336,0.0001382888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005110859,"about_ca_system_score_gemma":0.00008389789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474331,"about_ca_topic_score_gemma":0.006915571,"domain_scores_codex":[0.9929248,0.0004975869,0.001529229,0.001566192,0.001448563,0.002033628],"domain_scores_gemma":[0.9969641,0.0002456821,0.0009124459,0.0004278074,0.0005335069,0.000916441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005695134,0.001018309,0.5810048,0.0000889238,0.00145835,0.001259316,0.001834164,0.00001710255,0.1004079,0.002989173,0.07532733,0.2340251],"study_design_scores_gemma":[0.000768225,0.001700931,0.9410974,0.000168023,0.0002335691,0.0002554235,0.006429046,0.0000710759,0.005073974,0.0004183197,0.04236854,0.001415453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789519,0.0005160105,0.00001748478,0.005408579,0.001111566,0.0008210696,0.0001067853,0.0004872934,0.01257936],"genre_scores_gemma":[0.9933884,0.0005430047,0.0002239455,0.0008460469,0.002165713,0.00007044648,0.0005028038,0.00001878259,0.002240888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3600926,"threshold_uncertainty_score":0.999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191444394712444,"score_gpt":0.2350451865075213,"score_spread":0.2131307425603969,"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."}}