{"id":"W3041947316","doi":"10.48336/y09f-py12","title":"Simulation of hydro-ecological indices in a long-term hydrologic model using downscaled climate data","year":2020,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Environmental science; Climate change; Hydrology (agriculture); Term (time); Climate model; Downscaling; Hydrological modelling; Stream flow; Climatology; Ecology; Geography; Drainage basin; Geology","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":[0.0006842063,0.0003483974,0.0003430008,0.0002635794,0.0003143855,0.0005530812,0.0005965275,0.0006662396,0.001522084],"category_scores_gemma":[0.001372582,0.0003526562,0.0005235019,0.0003942177,0.000302702,0.0004233548,0.000320834,0.0006980534,0.0001929072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008816927,"about_ca_system_score_gemma":0.001155344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04026335,"about_ca_topic_score_gemma":0.0296136,"domain_scores_codex":[0.9998964,0.00003750007,0.000008633609,0.00002430999,0.00001628116,0.00001686578],"domain_scores_gemma":[0.9994926,0.0002621652,0.00004673496,0.00005674492,0.00009938826,0.00004237946],"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":[0.00003576467,0.0000349929,0.003094467,0.000006416601,0.00001550051,0.00001859906,0.00001572214,0.9945819,0.0005376201,0.0002501356,0.000127645,0.001281241],"study_design_scores_gemma":[0.000009951933,0.00001198756,0.0006566604,8.917712e-7,0.000003876423,0.000001812155,0.000005656965,0.9989586,0.0002133956,0.00006201839,0.00007266863,0.000002429084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761919,0.0000391773,0.01858316,0.0001453675,0.00003493852,0.00006466808,0.001094248,0.0004538823,0.003392664],"genre_scores_gemma":[0.9809515,0.00006668316,0.0165075,0.00003230136,0.000007743947,0.00009737501,0.0009822933,0.00004457447,0.001310091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04026335,"threshold_uncertainty_score":0.08005798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05959015913588658,"score_gpt":0.3018329454280542,"score_spread":0.2422427862921676,"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."}}