{"id":"W2739018183","doi":"10.4236/nr.2017.87030","title":"Effects of Aggregate Extraction on Water Storage in the Pepin Creek Watershed, British Columbia, Canada","year":2017,"lang":"en","type":"article","venue":"Natural Resources","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Native Mental Health Association of Canada; University of British Columbia","funders":"","keywords":"Watershed; Environmental science; Hydrology (agriculture); Extraction (chemistry); Groundwater; Precipitation; Evapotranspiration; Aggregate (composite); Surface water; Environmental engineering; Ecology; Geology; Geotechnical engineering; Geography; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001946587,0.0002266525,0.0002241628,0.0007153163,0.002647378,0.001147341,0.0005149593,0.00018846,0.002326359],"category_scores_gemma":[0.001003636,0.0001264017,0.0001546328,0.001913034,0.0007283645,0.0003410004,0.0005644958,0.0002843598,0.000125527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02250557,"about_ca_system_score_gemma":0.01915057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890968,"about_ca_topic_score_gemma":0.9972208,"domain_scores_codex":[0.9996127,0.00002389204,0.00001508513,0.00004332512,0.0001945924,0.0001103526],"domain_scores_gemma":[0.9988521,0.0001107499,0.0001098052,0.00002462651,0.0007326636,0.0001700307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009013294,0.0003761296,0.8947808,0.0001614316,0.0001385869,0.001265979,0.003312217,0.004827223,0.01937093,0.0008205586,0.006829162,0.06721563],"study_design_scores_gemma":[0.000009262078,0.00004892037,0.9923706,0.0000203506,0.00001933981,0.00004166097,0.002292673,0.0009451756,0.001547207,0.00008376847,0.002603324,0.0000178024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946912,0.0001209098,0.00005583336,0.000143175,0.000002403834,0.00002032288,0.0006271306,0.000009407765,0.004329599],"genre_scores_gemma":[0.9963508,0.0002116359,0.000160892,0.00004039549,8.68392e-7,0.00001081916,0.0005076469,0.000005248874,0.002711772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02250557,"threshold_uncertainty_score":0.1632901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004702242486008403,"score_gpt":0.2028450255039231,"score_spread":0.1981427830179147,"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."}}