{"id":"W2970374537","doi":"10.1002/rra.3529","title":"Biomic river restoration: A new focus for river management","year":2019,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"Engineering and Physical Sciences Research Council","keywords":"Dam removal; Biome; Channel (broadcasting); River management; River ecosystem; Flood myth; Stream restoration; Restoration ecology; Fluvial; Natural (archaeology); Environmental science; Floodplain; Flood control; Environmental resource management; Hydrology (agriculture); Water resource management; Ecology; STREAMS; Geography; Ecosystem; Geology; Computer science; Sediment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002188878,0.00007530558,0.00007545685,0.00005899501,0.0002827515,0.00002067037,0.0002089792,0.00005409258,0.0008987356],"category_scores_gemma":[0.000002381336,0.0000687423,0.00002316965,0.0002700849,0.000488128,0.0001757689,0.0000886926,0.0000976888,0.001743945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005020543,"about_ca_system_score_gemma":0.00001787087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002024675,"about_ca_topic_score_gemma":0.00004737568,"domain_scores_codex":[0.9990402,0.0000175301,0.0001028835,0.0003447459,0.0002240492,0.0002706263],"domain_scores_gemma":[0.9995295,0.00006036894,0.00002072253,0.0002381983,0.00001689251,0.0001342895],"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":[0.0006720532,0.001272612,0.2181752,0.0003591324,0.0002776645,0.00001689492,0.005209622,0.0006815564,0.0129134,0.2900827,0.1457442,0.3245949],"study_design_scores_gemma":[0.0009422415,0.0001758366,0.04506728,0.000008449039,0.00001677125,0.000001748949,0.0000551883,0.000263988,0.0009835822,0.0927927,0.8595404,0.0001517913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8817168,0.0005461612,0.06133169,0.005240748,0.00005728422,0.005681056,0.00006263407,0.0001166413,0.045247],"genre_scores_gemma":[0.9776964,0.00024083,0.004223521,0.000126081,0.00005969796,0.00051077,0.00003820896,0.00001029136,0.01709426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137962,"threshold_uncertainty_score":0.9990333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208789340947559,"score_gpt":0.3129521107779339,"score_spread":0.2808642173684583,"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."}}