{"id":"W4382193384","doi":"10.3390/w15091799","title":"Balancing Physical Channel Stability and Aquatic Ecological Function through River Restoration","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada Foundation for Innovation; University of Guelph","keywords":"Channel (broadcasting); Environmental science; Weir; Habitat; Population dynamics of fisheries; Hydrology (agriculture); Fishery; Fish migration; Ecology; Fish <Actinopterygii>; Population; Geography; Biology; Engineering; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005291788,0.0002070586,0.0002195195,0.0004605343,0.0005843658,0.0007648249,0.0004303874,0.0001645225,0.0007421686],"category_scores_gemma":[0.001143215,0.0001120168,0.0001729861,0.0003843318,0.0005932972,0.0004547154,0.0005860916,0.0001403252,0.00008930854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133481,"about_ca_system_score_gemma":0.002074661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.040436,"about_ca_topic_score_gemma":0.2270815,"domain_scores_codex":[0.999676,0.00009354678,0.00002401854,0.00005282823,0.00008208848,0.00007142426],"domain_scores_gemma":[0.9996388,0.00004799604,0.0001248518,0.00004120773,0.0001008494,0.00004628544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004930383,0.0003288361,0.3628626,0.0003416473,0.0001141047,0.0004347331,0.001565397,0.1008785,0.2088805,0.002458024,0.001046847,0.3205959],"study_design_scores_gemma":[0.0000738325,0.00251073,0.882191,0.00007045428,0.0001250839,0.0003674633,0.003210481,0.06614286,0.03191444,0.001568698,0.01174416,0.00008071817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852351,0.00007716975,0.01274738,0.00004692757,0.000003570563,0.00005526382,0.0000380105,0.00008031764,0.001716314],"genre_scores_gemma":[0.9941783,0.00003571376,0.005233123,0.000006175391,0.000001142013,0.00001444835,0.0000237719,0.000008769003,0.0004985587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.040436,"threshold_uncertainty_score":0.0804013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940945194520151,"score_gpt":0.2243078891053087,"score_spread":0.2048984371601072,"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."}}