{"id":"W2490895806","doi":"10.1080/10402381.2016.1204397","title":"Effect of a moderate-size reservoir on transport of trace elements in a watershed","year":2016,"lang":"en","type":"article","venue":"Lake and Reservoir Management","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Weill Cornell Medical College; University of British Columbia; Harvard University","keywords":"Hydrology (agriculture); Biogeochemistry; Watershed; Trace element; Environmental science; Settling; Anoxic waters; Water column; Storm; Precipitation; Sediment; Trace metal; Geology; Environmental chemistry; Chemistry; Geochemistry; Metal; Oceanography; Geomorphology; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005563651,0.0002349521,0.0002645643,0.0003517347,0.0009287299,0.001105706,0.000806132,0.0004768135,0.002142301],"category_scores_gemma":[0.002009241,0.0001586439,0.0004888335,0.0004311212,0.0008218646,0.0009348597,0.001416924,0.0003916195,0.0001683928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002540246,"about_ca_system_score_gemma":0.00246487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03824233,"about_ca_topic_score_gemma":0.07287404,"domain_scores_codex":[0.9994379,0.0002017245,0.00003937981,0.00009202045,0.00007563998,0.0001532285],"domain_scores_gemma":[0.9980317,0.0005356778,0.0004019149,0.0001204121,0.0002018765,0.0007083923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003651235,0.00197312,0.8879055,0.000132081,0.0003615486,0.003206654,0.0006639999,0.01587528,0.0412642,0.001513311,0.001855281,0.04159783],"study_design_scores_gemma":[0.0001326642,0.002538663,0.9609472,0.00003944564,0.0002497568,0.0003885224,0.002047224,0.02532519,0.005183671,0.0003381806,0.002758343,0.00005117305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990294,0.00003169546,0.0001289424,0.00008808653,0.000004855513,0.00001241928,0.00004495683,0.0000177792,0.0006419034],"genre_scores_gemma":[0.9995822,0.00002251859,0.0001423276,0.00001711894,0.000002283871,0.000006962197,0.00004489873,0.000002567931,0.0001790559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03824233,"threshold_uncertainty_score":0.07603949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007998166812240649,"score_gpt":0.233836845834973,"score_spread":0.2258386790227324,"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."}}