{"id":"W1977721009","doi":"10.3390/cli3020264","title":"Climate Change Induced Precipitation Effects on Water Resources in the Peace Region of British Columbia, Canada","year":2015,"lang":"en","type":"article","venue":"Climate","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Precipitation; Environmental science; Climate change; Watershed; Water resources; Greenhouse gas; Streamflow; Climatology; Hydrology (agriculture); Spring (device); Climate model; Drainage basin; Geography; Meteorology; Ecology; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000467329,0.00006278684,0.0001147043,0.00001340772,0.00009642866,0.0000224038,0.0001570932,0.0000364861,0.00001838121],"category_scores_gemma":[0.00002707518,0.00005796411,0.00001577394,0.00008041429,0.00006354926,0.0001011928,0.000154262,0.00007513862,0.00003971408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007762282,"about_ca_system_score_gemma":0.000002115868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5856665,"about_ca_topic_score_gemma":0.9415217,"domain_scores_codex":[0.9990382,0.0001609392,0.0001325444,0.0001790863,0.0001973637,0.0002918395],"domain_scores_gemma":[0.9997013,0.00006557098,0.00005078112,0.0001487319,0.00000472941,0.00002885859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000993196,0.0001348865,0.9322196,0.0001692931,0.00001705576,0.0002800427,0.02042683,0.0001377398,0.0004132931,0.00001302145,0.03727469,0.008814218],"study_design_scores_gemma":[0.00057497,0.0002511374,0.9926111,0.00009300972,0.00001768951,0.000006018412,0.0009932446,0.00005467915,0.0002746538,0.0001938165,0.00480017,0.000129585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921157,0.00002313073,2.997497e-7,0.0008843809,0.0001415991,0.0003427698,0.00000449884,0.00001148724,0.006476116],"genre_scores_gemma":[0.9986874,0.00008134932,0.000005888737,0.0009910035,0.00002589465,0.00008008788,0.000007729595,0.000006314179,0.0001143319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3558552,"threshold_uncertainty_score":0.4170926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213988381765474,"score_gpt":0.2149386361041952,"score_spread":0.1927987522865405,"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."}}