{"id":"W2017722208","doi":"10.1007/s00477-009-0336-9","title":"Validation and use of rainfall radar data to simulate water flows in the Rio Escondido basin","year":2009,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"National Oceanic and Atmospheric Administration","keywords":"Environmental science; Rain gauge; Runoff model; Radar; Hydrology (agriculture); Surface runoff; Hydrograph; Watershed; Structural basin; Flow routing; Water balance; Routing (electronic design automation); Hydrological modelling; Meteorology; Geology; Precipitation; Climatology; Computer science; Geography; Geomorphology","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":[0.0020557,0.0005174364,0.0003265992,0.0005392873,0.0003192784,0.0007456797,0.0007756966,0.0006869786,0.0003175185],"category_scores_gemma":[0.004846665,0.0003476102,0.0003244349,0.0004484998,0.0003801798,0.0004600725,0.0003068445,0.0003960051,0.0001185854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007668553,"about_ca_system_score_gemma":0.001230784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04797975,"about_ca_topic_score_gemma":0.02442357,"domain_scores_codex":[0.9995473,0.0001668253,0.00005378214,0.00009335588,0.00009174284,0.0000470551],"domain_scores_gemma":[0.9976749,0.001185009,0.0001783912,0.0003621193,0.0004853622,0.0001142878],"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":[0.0002706484,0.0006356186,0.08182753,0.00004320684,0.000155579,0.0001453909,0.0002069599,0.8789526,0.007981367,0.0004480031,0.0004445661,0.02888859],"study_design_scores_gemma":[0.0001024052,0.0001112756,0.03460026,0.00001212569,0.0000363192,0.00002036625,0.00007947526,0.959564,0.004905326,0.0001617072,0.0003862477,0.00002061875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974861,0.00001868559,0.001529967,0.00003327273,0.00001042726,0.00001558923,0.0001785784,0.0001084249,0.0006188999],"genre_scores_gemma":[0.9973053,0.00001796338,0.002099479,0.000008255677,0.000002239041,0.00001335461,0.0003989654,0.00001336138,0.0001411244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04797975,"threshold_uncertainty_score":0.09540093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05320010791947159,"score_gpt":0.3386211770654567,"score_spread":0.2854210691459851,"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."}}