{"id":"W2394553661","doi":"","title":"Liquid assets: The Value of North Eastern British Columbia’s Groundwater Resources in the Face of Climate Change and Competing Uses","year":2016,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Face (sociological concept); Groundwater; Value (mathematics); Geography; Natural resource economics; Business; Environmental resource management; Water resource management; Environmental science; Economics; Geology; Sociology; Oceanography; Computer science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004237718,0.0001520196,0.0001402105,0.001193516,0.002925413,0.006641679,0.0006499044,0.0006166379,0.006638119],"category_scores_gemma":[0.004008519,0.0001035852,0.00009107903,0.00296667,0.002025613,0.00175559,0.001299599,0.001112798,0.000299475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0236854,"about_ca_system_score_gemma":0.01379719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8464827,"about_ca_topic_score_gemma":0.9542173,"domain_scores_codex":[0.9996159,0.00008300013,0.00001065185,0.00002342569,0.0001497433,0.0001172986],"domain_scores_gemma":[0.9981682,0.0003841424,0.0001702151,0.00005723661,0.0007170345,0.0005032182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005290655,0.0002790308,0.6317037,0.0001757028,0.0001411606,0.00346188,0.01564652,0.008042527,0.001774843,0.06003027,0.0644795,0.2137358],"study_design_scores_gemma":[0.00003726535,0.0001678213,0.6919946,0.0003385145,0.0001079027,0.0006033005,0.1508633,0.01069158,0.0008654601,0.0325595,0.1116339,0.0001368251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810113,0.0006667863,0.0002391392,0.006322872,0.00003616342,0.00002135661,0.0006454363,0.00001253873,0.1110445],"genre_scores_gemma":[0.9919931,0.0003703628,0.0001158245,0.0001289912,0.000005609756,0.000005168837,0.0001589763,0.000004846245,0.007217219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535173,"threshold_uncertainty_score":0.3088428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379870505541544,"score_gpt":0.1863083819567853,"score_spread":0.1725096769013698,"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."}}