{"id":"W2923826912","doi":"10.1007/s11368-019-02299-2","title":"Determining contemporary and historical sediment sources in a large drainage basin impacted by cumulative effects: the regulated Nechako River, British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Académie des Sciences, Institut de France; Real Estate Foundation of British Columbia; University of Northern British Columbia","keywords":"Tributary; Hydrology (agriculture); Drainage basin; Sediment; Structural basin; Snowmelt; Sedimentary budget; Deposition (geology); Erosion; Environmental science; Floodplain; Discharge; Geology; Cumulative effects; Sediment transport; Snow; Geography; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373472,0.000120785,0.0003426871,0.00001238518,0.0001612197,0.0001149811,0.000124907,0.00008260789,0.00006110229],"category_scores_gemma":[0.00002405292,0.00006354209,0.00005655357,0.0001486729,0.00003855771,0.0002140609,0.0000365983,0.0002182372,3.290986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535181,"about_ca_system_score_gemma":0.00005258669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3707597,"about_ca_topic_score_gemma":0.1970308,"domain_scores_codex":[0.9986494,0.0001196313,0.0004131388,0.0001816443,0.0003874597,0.0002486893],"domain_scores_gemma":[0.9992352,0.0002420196,0.0002588042,0.00003507394,0.00005438523,0.0001745524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102165,0.0002091031,0.9606108,0.00002867784,0.00007479591,0.0001801563,0.0008569458,0.000001991695,0.01301298,0.000001837376,0.01327664,0.01164387],"study_design_scores_gemma":[0.002155324,0.0006506112,0.9817392,0.0002439037,0.00002262109,0.00004632616,0.000780768,0.0002300826,0.0001987276,0.00006285378,0.01369224,0.0001772917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972399,0.001594578,7.307285e-7,0.000546131,0.0002526779,0.0002369386,0.00003176068,0.000006507157,0.00009073623],"genre_scores_gemma":[0.9983144,0.0001037035,0.000008125216,0.0009049909,0.00004834238,0.00000244649,0.00001294625,0.00000190038,0.0006031019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1737289,"threshold_uncertainty_score":0.8176213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008631298340609023,"score_gpt":0.1850607284611678,"score_spread":0.1764294301205588,"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."}}