{"id":"W2040905301","doi":"10.1002/hyp.6962","title":"Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions","year":2008,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Surface runoff; Climate change; Drainage basin; Hydrology (agriculture); Water resources; Precipitation; Irrigation; Water resource management; Population; Flood myth; Climate model; Geography; Meteorology; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002949904,0.0001273865,0.0002537708,0.0001396726,0.000304686,0.000007474002,0.0003053236,0.00008376508,0.001052236],"category_scores_gemma":[0.00005331016,0.00006389231,0.00006254748,0.001014112,0.001147739,0.0001232533,0.0001927272,0.0001268016,0.0001118562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001879614,"about_ca_system_score_gemma":0.000002808266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002410109,"about_ca_topic_score_gemma":0.0004917881,"domain_scores_codex":[0.9987714,0.0001454925,0.0002312499,0.0002934883,0.0002077635,0.0003505656],"domain_scores_gemma":[0.9995973,0.0001375431,0.00006029215,0.0001675184,0.00001048285,0.00002690914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005146426,0.0002701047,0.9791204,0.00002359192,0.0002007243,0.00006807228,0.007172378,0.01235316,0.0001891857,0.00007904026,0.0004542838,0.00001755217],"study_design_scores_gemma":[0.0002015234,0.0001033241,0.9949595,0.000002962956,0.0002343454,0.000005564033,0.0002341723,0.0003210646,0.0003166129,0.001483832,0.00201791,0.0001191749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989763,0.00002610231,0.0000253332,0.001281807,0.00001038982,0.0001914894,0.00001114727,0.00003009999,0.008660641],"genre_scores_gemma":[0.9977209,0.000146554,0.00002833621,0.001894065,0.000007330144,0.00006085707,0.00003538039,0.000003741013,0.0001028493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01583907,"threshold_uncertainty_score":0.9998609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030476470464827,"score_gpt":0.2354021394575393,"score_spread":0.215097374752891,"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."}}