{"id":"W4414115805","doi":"10.22541/au.175761959.95777888/v1","title":"Development of a Water Management Framework for Upper Yamuna River Basin using WEAP","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage basin; Hydrology (agriculture); River management; Water resources; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004654073,0.0003617754,0.0004270131,0.0001559692,0.0001866246,0.00003981885,0.0004854044,0.0002847366,0.003990845],"category_scores_gemma":[0.00001131564,0.0002805492,0.0001712774,0.0001217225,0.00009480096,0.00005750133,0.004080363,0.0002041201,0.00007781687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009856902,"about_ca_system_score_gemma":0.00006062239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001288933,"about_ca_topic_score_gemma":0.00002831405,"domain_scores_codex":[0.9977008,0.0000260008,0.0005992943,0.0006790953,0.0003997917,0.0005949943],"domain_scores_gemma":[0.9992359,0.00004165681,0.0001160799,0.0004954505,0.00003080164,0.00008016847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001370911,0.00449176,0.061799,0.03794023,0.005395276,0.0002848209,0.2366623,0.03026407,0.004738342,0.03807073,0.04017404,0.5388086],"study_design_scores_gemma":[0.002113111,0.00006421409,0.02509672,0.003721707,0.0006080859,0.000004824733,0.01473689,0.007035838,0.1234836,0.149875,0.6695085,0.003751616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6046338,0.00007553832,0.3361869,0.0006562457,0.001161937,0.003944756,0.00007328468,0.000114242,0.05315328],"genre_scores_gemma":[0.02255215,0.00006424696,0.9631162,0.0005928669,0.00003122436,0.0003987204,0.0001431641,0.00003052864,0.01307095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6293344,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851335827986083,"score_gpt":0.2863935676279923,"score_spread":0.2478802093481315,"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."}}