{"id":"W2171330841","doi":"","title":"Impact of land use activities on fine sediment-associated contaminants, Quesnel River Basin, British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Sediment; Environmental science; Hydrology (agriculture); Nutrient; Structural basin; Water quality; Drainage basin; Agriculture; Forestry; Geography; Ecology; Geology; Archaeology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003826067,0.0002843935,0.0004808364,0.00002479211,0.0001731182,0.0002231212,0.0003846044,0.0002054396,0.003850293],"category_scores_gemma":[0.0002564382,0.0003512925,0.0001296627,0.0001366946,0.0003196695,0.0005023858,0.0001614113,0.0004783515,0.00006276236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006495908,"about_ca_system_score_gemma":0.0003559538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9724402,"about_ca_topic_score_gemma":0.9900368,"domain_scores_codex":[0.9973069,0.0001266061,0.0005096738,0.0005432125,0.000843866,0.0006697699],"domain_scores_gemma":[0.9985806,0.0002157274,0.0003672289,0.0004759296,0.00002993882,0.0003305383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002798868,0.0005042318,0.8645555,0.000006198319,0.00009164256,0.0001115299,0.00009739182,0.002360591,0.1104733,0.000003770336,0.01413637,0.007631454],"study_design_scores_gemma":[0.0006162659,0.0002858413,0.985409,0.00004310681,0.00002674449,0.00001438668,0.00001394765,0.0002055739,0.01122465,0.00003154786,0.001742543,0.0003863604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967139,0.00000513752,0.000005949933,0.00007028173,0.0004401105,0.0003259136,0.0003479841,0.00003158288,0.002059101],"genre_scores_gemma":[0.9937599,0.00002438126,0.0003284696,0.0001815799,0.00006671272,0.00002071652,0.00007183489,0.00003444539,0.005511994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208535,"threshold_uncertainty_score":0.9998939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261469348277859,"score_gpt":0.227499937804127,"score_spread":0.2148852443213484,"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."}}