{"id":"W2013255919","doi":"10.1016/j.yqres.2015.03.003","title":"Multi-millennial streamflow dynamics in two forested watersheds on Vancouver Island, Canada","year":2015,"lang":"en","type":"article","venue":"Quaternary Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada","keywords":"Streamflow; Holocene; Evapotranspiration; Pluvial; Precipitation; Watershed; Geology; Hydrology (agriculture); Climatology; Climate change; Physical geography; Environmental science; Oceanography; Drainage basin; Geography; Ecology; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00175346,0.0001830907,0.000260946,0.0003750118,0.0001935495,0.00003643503,0.0006163109,0.0001327266,0.0007559907],"category_scores_gemma":[0.0001912559,0.0001429554,0.0000335856,0.0004426902,0.0002966201,0.0001353853,0.00006333574,0.0009769356,0.0006714221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000654502,"about_ca_system_score_gemma":0.0008863081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8371812,"about_ca_topic_score_gemma":0.9991499,"domain_scores_codex":[0.9961956,0.0009610413,0.000273585,0.0004584125,0.0009557657,0.00115567],"domain_scores_gemma":[0.9984872,0.0005430908,0.00003048954,0.0003709265,0.0001680056,0.0004003396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006922603,0.00005267444,0.9867948,0.00001502863,0.00001641874,0.001383648,0.0002180651,0.002054332,9.207369e-7,0.00001945881,0.008356432,0.0003959715],"study_design_scores_gemma":[0.003165834,0.0006335803,0.2692953,0.00003716721,0.000002963382,0.00005523956,0.001862169,0.7226298,0.00004431306,0.0005348028,0.00146076,0.0002780468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833099,0.0001134848,0.000007552299,0.0009675051,0.0006880703,0.0003007246,0.00009122732,0.00001930447,0.01450219],"genre_scores_gemma":[0.9941871,0.00002354117,0.0001140643,0.0001095062,0.00008736647,0.000007732306,0.0002125209,0.000007400947,0.005250745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7205755,"threshold_uncertainty_score":0.8629996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07120618240496633,"score_gpt":0.3318461269719442,"score_spread":0.2606399445669779,"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."}}