{"id":"W2405936166","doi":"10.14288/1.0092582","title":"Land use impacts on ground and surface water quality in the Bertrand Creek watershed (Township of Langley, B.C.)","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; Hydrology (agriculture); Surface water; Forestry; Geography; Environmental engineering; Geology; Computer 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":[0.0001434646,0.0001558515,0.0001297356,0.0005124381,0.0005376088,0.000759309,0.0002914937,0.0002280507,0.001012133],"category_scores_gemma":[0.0004374456,0.0001092582,0.0001013823,0.001095116,0.0003905266,0.0002719176,0.000343867,0.0001914359,0.0001027093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003015038,"about_ca_system_score_gemma":0.001174523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4703477,"about_ca_topic_score_gemma":0.7978544,"domain_scores_codex":[0.9997261,0.00005687424,0.000007615642,0.00004546326,0.0001109586,0.00005297977],"domain_scores_gemma":[0.9996387,0.00005071964,0.00009441291,0.00001144131,0.0000937849,0.0001110168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004392906,0.0003917293,0.9487453,0.00006554802,0.0001071319,0.002024695,0.002092946,0.001645928,0.0131744,0.0003829557,0.002572811,0.02835733],"study_design_scores_gemma":[0.000004084649,0.00005408337,0.9976652,0.000004759779,0.000006660433,0.00007031851,0.0007614049,0.0004384011,0.0002402716,0.00002698337,0.0007225014,0.000005350512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990288,0.00006373303,0.00002839641,0.00003790366,0.0000011463,0.000005732155,0.0001371671,0.000004543945,0.0006925232],"genre_scores_gemma":[0.9985356,0.00009375793,0.0002051626,0.00002317085,0.000001870828,0.000006389039,0.000245798,0.000002706301,0.0008855549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5296523,"threshold_uncertainty_score":0.9352199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005117422300292,"score_gpt":0.1995696543235192,"score_spread":0.1695184801005163,"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."}}