{"id":"W4233533779","doi":"10.1080/14634980008657036","title":"SEDS: setting environmental decisions for sediment, a decision making tool for sediment management","year":2000,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of Environment; Ministry of the Environment, Conservation and Parks","funders":"Ministry of Environment; University of South Florida","keywords":"Sediment; Environmental science; Environmental resource management; Process (computing); Resource (disambiguation); Field (mathematics); Computer science; Environmental planning; Risk analysis (engineering); Business; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001820612,0.0004199344,0.0005105595,0.00007174806,0.0009789638,0.000124634,0.0004837766,0.0001015462,0.001041243],"category_scores_gemma":[0.00001044794,0.0002214963,0.0003370397,0.0002622232,0.00001966125,0.0001566598,0.00009370648,0.00009461543,0.0002347969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005673399,"about_ca_system_score_gemma":0.00001191838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002460301,"about_ca_topic_score_gemma":0.000199021,"domain_scores_codex":[0.9959069,0.00009684759,0.001283486,0.0009450259,0.0007767095,0.0009910041],"domain_scores_gemma":[0.9983538,0.0007953582,0.0003090854,0.0002784353,0.00001402727,0.000249339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002932398,0.0004768956,0.001056061,0.0003711639,0.0001561719,0.00001006421,0.00018312,0.00022086,0.00007843553,0.001244889,0.01343652,0.9824726],"study_design_scores_gemma":[0.007500154,0.002360515,0.05192171,0.003853095,0.00048094,0.00001773853,0.005612208,0.03192323,0.00009822984,0.008167412,0.8862731,0.001791626],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454067,0.0006406967,0.02458624,0.006238322,0.001275229,0.01831603,0.0006401157,0.0004176572,0.002478983],"genre_scores_gemma":[0.9755418,0.0005473521,0.01581367,0.003950452,0.0002405922,0.002125727,0.0004751825,0.00001263719,0.001292602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9806809,"threshold_uncertainty_score":0.999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200264848035371,"score_gpt":0.2659188480981552,"score_spread":0.2439161996178015,"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."}}