{"id":"W3145943903","doi":"","title":"Analisis Laju Infiltrasi Berbagai Penggunaan Lahan di Desa Kaligending, Karangsambung, Jawa Tengah","year":2021,"lang":"en","type":"article","venue":"Indonesian Mining and Energy Journal","topic":"Water and Land Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Forestry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260076,0.0006938931,0.0008314094,0.00215432,0.001163545,0.002575856,0.0004327973,0.0007089967,0.009518312],"category_scores_gemma":[0.001850974,0.0003575316,0.0009070509,0.001765,0.0006385366,0.001222911,0.0007909675,0.001386349,0.001885592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988338,"about_ca_system_score_gemma":0.0008689922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009214423,"about_ca_topic_score_gemma":0.02374607,"domain_scores_codex":[0.9987611,0.0001980122,0.00009577932,0.0002733718,0.0005210877,0.0001506819],"domain_scores_gemma":[0.9977639,0.0008208159,0.000321861,0.000111977,0.0008263201,0.0001551951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003271824,0.0009312903,0.4668547,0.004975536,0.0007692395,0.002944736,0.01418052,0.001011597,0.2636138,0.002605733,0.005993183,0.2328479],"study_design_scores_gemma":[0.00002715551,0.00149733,0.7997581,0.000616703,0.0006815742,0.002867669,0.02557147,0.00172335,0.07601891,0.001936092,0.08913659,0.0001650722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508101,0.01012162,0.004943382,0.0004538265,0.0001724847,0.0002912979,0.003520551,0.0001649647,0.02952174],"genre_scores_gemma":[0.9300724,0.005071972,0.0109992,0.0003342012,0.00004761375,0.0002174282,0.002034467,0.0001628333,0.05105981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009518312,"threshold_uncertainty_score":0.03184199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007705636050553003,"score_gpt":0.2002104014394994,"score_spread":0.1925047653889464,"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."}}