{"id":"W2151247829","doi":"10.1016/j.scitotenv.2014.07.014","title":"Individual and cumulative effects of agriculture, forestry and metal mining activities on the metal and phosphorus content of fluvial fine-grained sediment; Quesnel River Basin, British Columbia, Canada","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sediment; Environmental science; Structural basin; Hydrology (agriculture); Agriculture; Drainage basin; Fluvial; Water quality; Cumulative effects; Forestry; Geology; Geography; Ecology; Archaeology; Geomorphology","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":[0.0006244461,0.0003927875,0.0006571893,0.001350833,0.001748416,0.00127137,0.001316498,0.0006005426,0.002703766],"category_scores_gemma":[0.001752529,0.0004590958,0.0004703512,0.002402407,0.001448531,0.0004559727,0.001165578,0.0005752981,0.0002343994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01109616,"about_ca_system_score_gemma":0.01097075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746779,"about_ca_topic_score_gemma":0.9943724,"domain_scores_codex":[0.9992842,0.0001266098,0.00005330938,0.0001673923,0.0001781437,0.0001903946],"domain_scores_gemma":[0.997892,0.0004107167,0.0002407573,0.00008855632,0.0006685484,0.0006994577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002873256,0.00007160495,0.9888904,0.00002963597,0.0003098467,0.0001864877,0.0007749347,0.0006180473,0.001205402,0.00009246295,0.0004988078,0.007035056],"study_design_scores_gemma":[0.000002575115,0.00001607985,0.9987404,0.000006363675,0.00003116857,0.00002664286,0.0006990634,0.0001772772,0.00005688328,0.00001407525,0.0002231584,0.000006368896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982627,0.0003452966,0.00004265228,0.00007719266,0.000005056934,0.000006923707,0.0006110179,0.00000535858,0.0006439108],"genre_scores_gemma":[0.9962212,0.0002799639,0.00008118011,0.00001908784,0.000002537671,0.00000656489,0.0003964048,0.000004478924,0.002988687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02532214,"threshold_uncertainty_score":0.08050871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112812669088712,"score_gpt":0.1640927732033806,"score_spread":0.1528115062945095,"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."}}