{"id":"W2611825284","doi":"","title":"Global Climate Model Simulated Hydrologic Droughts and Floods in the Nelson-Churchill Watershed","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Watershed; Environmental science; Flood myth; Climatology; Hydrological modelling; Climate model; Hydrology (agriculture); Climate change; Geology; Geography; Oceanography","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":[0.0004933056,0.0004611955,0.0003757422,0.0004208036,0.0005270095,0.0007139413,0.0008938825,0.001035125,0.001584288],"category_scores_gemma":[0.001381382,0.0004340515,0.0005987426,0.0007768964,0.0005528334,0.0007550796,0.0004484755,0.0008350648,0.0001809603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003090354,"about_ca_system_score_gemma":0.002332555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3438808,"about_ca_topic_score_gemma":0.40242,"domain_scores_codex":[0.9998562,0.00003476963,0.000009199135,0.00004362061,0.00001521135,0.00004096992],"domain_scores_gemma":[0.9995416,0.0001461114,0.00004711698,0.00003831384,0.0001079415,0.0001189988],"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":[0.0004917693,0.0004681928,0.09107932,0.00004492536,0.0001713929,0.0001989949,0.0001458985,0.8932568,0.00259623,0.00118402,0.005399601,0.004962859],"study_design_scores_gemma":[0.0003288265,0.00009133328,0.101929,0.00001509747,0.00008070109,0.00002747815,0.0002460624,0.8937579,0.00154428,0.0004546406,0.001466172,0.00005847192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961999,0.00002510796,0.0002042329,0.0002189927,0.00002240316,0.000007520639,0.001993363,0.00007229772,0.001256077],"genre_scores_gemma":[0.996686,0.00003408607,0.0003692339,0.00003809443,0.000005726835,0.000010544,0.002365703,0.00003143494,0.0004590659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6561192,"threshold_uncertainty_score":0.6837584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009589030146670787,"score_gpt":0.2236240494737249,"score_spread":0.2140350193270541,"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."}}