{"id":"W4391479181","doi":"10.24912/jmts.v7i1.26048","title":"ANALISIS PERBANDINGAN DEBIT PADA DAS CIMANUK-COPONG KABUPATEN GARUT AKIBAT PERUBAHAN TATA GUNA LAHAN","year":2024,"lang":"en","type":"article","venue":"JMTS Jurnal Mitra Teknik Sipil","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Biology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006993004,0.000530333,0.0008559034,0.000765269,0.0003630736,0.0008139165,0.000731911,0.0002966066,0.0009191066],"category_scores_gemma":[0.0001266618,0.0005583902,0.0005882849,0.0005630229,0.0002005302,0.0008827209,0.000176328,0.0007120004,0.002167295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003464815,"about_ca_system_score_gemma":0.0000806773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069494,"about_ca_topic_score_gemma":0.0001936411,"domain_scores_codex":[0.996572,0.0000377382,0.001257266,0.001009364,0.0001137239,0.001009883],"domain_scores_gemma":[0.9983723,0.0001635652,0.0003070378,0.0006571363,0.00004316157,0.000456861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001847326,0.000545489,0.436365,0.0009193725,0.001485859,0.0005120378,0.007783498,0.0001111428,0.002784341,0.4322417,0.1046973,0.01236946],"study_design_scores_gemma":[0.00250006,0.0007044273,0.3211796,0.0005396519,0.0002373271,0.0003815208,0.001878123,0.01292282,0.003402341,0.0569344,0.5957705,0.003549255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919094,0.01030188,0.0003138588,0.003080778,0.0019517,0.0002900845,0.000752485,0.000308161,0.09109163],"genre_scores_gemma":[0.993517,0.0006317861,0.0001242667,0.0008000112,0.00116752,0.00003936329,0.00009370627,0.000126103,0.003500257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4910731,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101717322411761,"score_gpt":0.2473256120947983,"score_spread":0.2163084388706806,"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."}}