{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268567,0.00007839478,0.000133536,0.00001103702,0.0005734142,0.0001570982,0.0004357279,0.00004894816,0.0001474978],"category_scores_gemma":[0.00007900366,0.00006533557,0.00003376731,0.00002689206,0.000239671,0.0001517389,0.0001734529,0.0002199124,0.00002264514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007988083,"about_ca_system_score_gemma":0.000002489938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.936016,"about_ca_topic_score_gemma":0.9849452,"domain_scores_codex":[0.9989814,0.0001038784,0.0001245335,0.0002167016,0.0003006535,0.0002728065],"domain_scores_gemma":[0.9995715,0.0000867811,0.00008227216,0.0002321159,0.000003785111,0.00002353448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002655287,0.0002598335,0.8641518,0.000186897,0.0001224789,0.001803611,0.006154667,0.0008393786,0.008307193,0.000003747856,0.08011691,0.0377879],"study_design_scores_gemma":[0.0003797037,0.00007463619,0.9590767,0.00003505674,0.00001518896,0.000005452741,0.0001343238,0.00005165972,0.001680738,0.00009403077,0.0383428,0.0001096983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951124,0.00008746389,3.404417e-7,0.000973982,0.0002055596,0.0002282277,0.000002001813,0.000008149324,0.00338194],"genre_scores_gemma":[0.9942308,0.00003196442,0.000006777894,0.0005184553,0.00002930464,0.00001744715,0.00000332367,0.000005626954,0.005156293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09492486,"threshold_uncertainty_score":0.4410296,"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."}}