{"id":"W4381548109","doi":"10.1007/s11368-023-03563-2","title":"The seasonal movement of sediment-associated marine-derived nutrients in a morphologically diverse riverbed: the influence of salmon in an Interior British Columbia river","year":2023,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Northern British Columbia; Ministry of Environment; Ministry of the Environment, Conservation and Parks","funders":"Natural Sciences and Engineering Research Council of Canada; University of Northern British Columbia","keywords":"Sediment; Hydrology (agriculture); Environmental science; Nutrient; Substrate (aquarium); Floodplain; Sediment trap; Sedimentation; Water column; Ecology; Oceanography; Geology; Geomorphology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007822884,0.00009545418,0.0002427212,0.00004054455,0.00009688428,0.00005693242,0.0003594939,0.00006254698,0.00003574151],"category_scores_gemma":[0.0000577193,0.00007582951,0.00006401625,0.0003530474,0.000354463,0.0002562798,0.0004331646,0.0001871742,0.000002528017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381515,"about_ca_system_score_gemma":0.00001595775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00716463,"about_ca_topic_score_gemma":0.002713594,"domain_scores_codex":[0.9983547,0.0001312602,0.0005639666,0.0001556162,0.0005383273,0.0002560905],"domain_scores_gemma":[0.9992388,0.00008532776,0.0004360872,0.0001124211,0.00004441075,0.00008297982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001190993,0.0002664592,0.9910312,0.000006758061,0.0000313846,0.00007926093,0.00083574,0.001051805,0.002888115,9.273538e-7,0.0002008763,0.003488339],"study_design_scores_gemma":[0.001862687,0.0003818837,0.9935876,0.0001385642,0.00001623744,0.000005954695,0.0005350501,0.001442922,0.0001135166,0.001811836,0.00002601912,0.00007778683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999549,0.00002470061,7.484504e-7,0.00008214878,0.0001015224,0.0001866604,0.00002073129,0.000003998773,0.0000305178],"genre_scores_gemma":[0.9991021,0.0006583515,0.00004296712,0.000118798,0.000008402084,0.000005418337,0.000004354068,0.000006379156,0.00005327051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004451036,"threshold_uncertainty_score":0.9994467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007823931175843004,"score_gpt":0.214449348040086,"score_spread":0.206625416864243,"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."}}