{"id":"W2801322743","doi":"10.1016/j.ejrh.2018.04.006","title":"Isotopic and geochemical surveys of lakes in coastal B.C.: Insights into regional water balance and water quality controls","year":2018,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Innotech Alberta; Environment and Climate Change Canada","keywords":"Water quality; Hydrology (agriculture); Watershed; Water balance; Drainage basin; Geology; Elevation (ballistics); Lithology; Environmental science; Physical geography; Geochemistry; Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143673,0.0001654774,0.0001794294,0.001172323,0.001025124,0.0005941143,0.0003123206,0.0001728451,0.0005247514],"category_scores_gemma":[0.0004029306,0.0001317026,0.00007753079,0.00239394,0.0003400775,0.0001560713,0.0004086925,0.0001763237,0.0001150985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002630371,"about_ca_system_score_gemma":0.002363241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8155457,"about_ca_topic_score_gemma":0.9467369,"domain_scores_codex":[0.9998682,0.00001332115,0.000008566857,0.00003226697,0.00004681337,0.00003077982],"domain_scores_gemma":[0.9995891,0.0000280441,0.00007504904,0.00001273599,0.0002252608,0.00006980618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005008789,0.00002178737,0.9830528,0.00002800004,0.00001670077,0.00009440024,0.001024009,0.0001469311,0.005863289,0.00004291429,0.0001606496,0.009498324],"study_design_scores_gemma":[8.184963e-7,0.0000103964,0.9987342,0.000002874016,0.00000344186,0.00002089337,0.0006214023,0.00008980359,0.0002468013,0.00000543376,0.000262132,0.000001821154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985564,0.00007568933,0.00005686976,0.00001332898,4.860948e-7,0.0000107355,0.0003573652,0.000003124608,0.0009260434],"genre_scores_gemma":[0.9982864,0.0001329994,0.0003788391,0.00001423891,9.618698e-7,0.00001156531,0.0004684374,0.000002139889,0.0007044335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1844543,"threshold_uncertainty_score":0.3710812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734044497127362,"score_gpt":0.2650009975683454,"score_spread":0.2376605525970718,"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."}}