{"id":"W4403987312","doi":"10.24929/ft.v12i2.3612","title":"PENGARUH PERUBAHAN TATA GUNA LAHAN TERHADAP NILAI CURVE NUMBER PADA DAS SAROKAH","year":2024,"lang":"id","type":"article","venue":"Jurnal Ilmiah MITSU (Media Informasi Teknik Sipil Universitas Wiraraja)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000485529,0.000503873,0.0003177362,0.001592582,0.001367387,0.00278596,0.0005725469,0.0005653514,0.03998695],"category_scores_gemma":[0.001557909,0.0002807875,0.0003824789,0.00353677,0.0004799366,0.001727092,0.001686987,0.0008443166,0.008419432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677731,"about_ca_system_score_gemma":0.003261724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03878808,"about_ca_topic_score_gemma":0.05736666,"domain_scores_codex":[0.9995583,0.0000600372,0.0000246489,0.00009593817,0.0001587818,0.0001022269],"domain_scores_gemma":[0.9989939,0.0001529893,0.0001062701,0.00009071901,0.0005691452,0.00008703222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005988487,0.0002136931,0.3014969,0.002132342,0.0001494454,0.002581354,0.0119679,0.005050813,0.01234459,0.02222914,0.1541075,0.4871275],"study_design_scores_gemma":[0.00002237739,0.0001574482,0.351611,0.0002988875,0.00006491436,0.0006777103,0.01586341,0.002465494,0.003479475,0.001794962,0.623477,0.00008735773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5802969,0.004206501,0.01324825,0.006947529,0.0005778225,0.0005841539,0.0310803,0.002689728,0.3603688],"genre_scores_gemma":[0.7859509,0.003818677,0.01006167,0.0006774369,0.0002040784,0.0005082684,0.01893263,0.0005226703,0.1793237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03998695,"threshold_uncertainty_score":0.1337696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133026533830007,"score_gpt":0.2280488051211473,"score_spread":0.2167185397828473,"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."}}