{"id":"W2775066999","doi":"10.1175/jhm-d-17-0155.1","title":"Hydroclimatology of the Missouri River Basin","year":2017,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Science Foundation","keywords":"Structural basin; Streamflow; Precipitation; Environmental science; Surface runoff; Drainage basin; Spring (device); Hydrology (agriculture); Climatology; Climate change; Geology; Oceanography; Geography; Ecology","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":[0.0001258161,0.00007434104,0.00005309968,0.001054282,0.000327104,0.0005431102,0.0001257659,0.00006624662,0.002761291],"category_scores_gemma":[0.0002796305,0.00006398906,0.00006308856,0.00153075,0.0001449602,0.0001029828,0.0002972763,0.0001098558,0.0002444632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140416,"about_ca_system_score_gemma":0.0008920047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2104468,"about_ca_topic_score_gemma":0.3950125,"domain_scores_codex":[0.9999313,0.00001339761,0.000003727328,0.00001908191,0.00001921873,0.00001332866],"domain_scores_gemma":[0.9997125,0.00003031172,0.00008338821,0.00001848659,0.00008279185,0.00007240797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004033666,0.00002908864,0.9509164,0.00009499046,0.00007195588,0.0001749511,0.0004825222,0.003299251,0.003437287,0.0005620935,0.005436372,0.03545465],"study_design_scores_gemma":[8.77281e-7,0.000002847206,0.9947462,0.00001185273,0.000003693762,0.00002188116,0.0001205461,0.0005399126,0.0001294604,0.00005129247,0.004368278,0.000003135723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749313,0.0006086574,0.0005312397,0.0002899837,0.000005905358,0.00001535776,0.01451605,0.0001475081,0.008953952],"genre_scores_gemma":[0.9952501,0.0003649194,0.0003611853,0.00002529178,0.000003186069,0.000009733243,0.002382035,0.000006308598,0.001597143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2104468,"threshold_uncertainty_score":0.4184438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030686085254332,"score_gpt":0.2308117353174385,"score_spread":0.2205048744648952,"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."}}