{"id":"W2913758759","doi":"10.29007/1xw5","title":"Spatially Distributed Hydrological Modelling of a Western Africa Basin","year":2018,"lang":"en","type":"article","venue":"EPiC series in engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Universidad Autónoma del Estado de México","keywords":"Environmental science; Precipitation; Surface runoff; Rain gauge; Tributary; Meteorology; Climatology; Structural basin; Drainage basin; Hydrological modelling; Calibration; Hydrology (agriculture); Geography; Geology; Statistics; Mathematics","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":[0.0001251137,0.0002714554,0.0001608811,0.0003175893,0.0002051455,0.0005714262,0.000308721,0.0002880784,0.0009489132],"category_scores_gemma":[0.0005091444,0.0001610354,0.0002199981,0.0007189456,0.0002063628,0.000370337,0.000318539,0.0001562932,0.00009444101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006032935,"about_ca_system_score_gemma":0.0006248206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03100517,"about_ca_topic_score_gemma":0.03849676,"domain_scores_codex":[0.9999387,0.0000208771,0.000004087871,0.00001863102,0.00001000161,0.00000764989],"domain_scores_gemma":[0.9999038,0.00003638172,0.00002279495,0.00000884381,0.00001991813,0.000008274434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002095621,0.00003181826,0.008206528,0.00001660466,0.00002545905,0.000192582,0.00006665429,0.9801044,0.001189927,0.002278199,0.000178453,0.007688512],"study_design_scores_gemma":[0.00002324539,0.00001384562,0.004937587,0.000005683818,0.00001185975,0.00003043764,0.00005329078,0.9927227,0.0002319688,0.0008471975,0.00111794,0.000004304937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673913,0.0002823886,0.0242979,0.0002338403,0.00001489235,0.00005798855,0.0009030747,0.0001347891,0.006683885],"genre_scores_gemma":[0.9910718,0.0002151377,0.006940895,0.00001125173,0.00000521955,0.00003857891,0.0002198939,0.000008613236,0.001488661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03100517,"threshold_uncertainty_score":0.06164938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549995143712321,"score_gpt":0.1940301300995784,"score_spread":0.1785301786624552,"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."}}