{"id":"W6907742278","doi":"10.25077/jtpa.29.1.140-157.2025","title":"WATER RESILIENCE ASSESSMENT DI HULU DAS BATANG ARAU: ANALISIS KESEIMBANGAN SUPPLY – DEMAND BERBASIS PEMODELAN SWAT","year":2025,"lang":"id","type":"article","venue":"Jurnal Teknologi Pertanian Andalas","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Hydrology (agriculture); Water balance; Water supply; Watershed","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"],"consensus_categories":[],"category_scores_codex":[0.0005915196,0.0006667004,0.0006943075,0.0005650801,0.000598097,0.000567241,0.0007462873,0.0004202917,0.0004323864],"category_scores_gemma":[0.0000658975,0.0005285763,0.0003026791,0.0006521146,0.0001627647,0.0005757058,0.0003214163,0.0007791662,0.000158274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416026,"about_ca_system_score_gemma":0.0001237776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001885933,"about_ca_topic_score_gemma":0.0006746884,"domain_scores_codex":[0.9965342,0.0001936772,0.0008431454,0.0008036441,0.0005271873,0.001098106],"domain_scores_gemma":[0.9986181,0.0001259782,0.0001283079,0.0007549996,0.0001630681,0.0002095549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004956233,0.0007536227,0.8011945,0.001632779,0.002616798,0.001022181,0.00330532,0.007870118,0.0399207,0.01145661,0.09369496,0.03603678],"study_design_scores_gemma":[0.003271245,0.0005471412,0.6808481,0.001051736,0.001075716,0.00006430748,0.002579003,0.08499857,0.01713234,0.001086742,0.2054991,0.001845945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347126,0.001590898,0.007406549,0.008705096,0.001535605,0.0006560018,0.00005745811,0.0004077467,0.04492802],"genre_scores_gemma":[0.9720736,0.001989086,0.0004951249,0.0007075687,0.0002371193,0.00005264645,0.0001479281,0.00005903748,0.02423787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1203464,"threshold_uncertainty_score":0.9997166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008976597402704494,"score_gpt":0.2543689452579113,"score_spread":0.2453923478552068,"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."}}