{"id":"W2317220842","doi":"10.1061/40517(2000)333","title":"Restoration of Thunder Bay River Erosion Sites","year":2000,"lang":"en","type":"article","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thunder; Bay; Wildlife; Watershed; Hydrology (agriculture); Environmental science; Surface runoff; Hydropower; Geology; Civil engineering; Engineering; Ecology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006933213,0.0003685884,0.0002555329,0.001478616,0.002094044,0.0008159481,0.001183085,0.0003263645,0.01146728],"category_scores_gemma":[0.001582278,0.0002023155,0.0002584111,0.001167087,0.0003284412,0.0004217855,0.001344866,0.0006182174,0.001614961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055635,"about_ca_system_score_gemma":0.00262515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04849784,"about_ca_topic_score_gemma":0.1677009,"domain_scores_codex":[0.9995912,0.00005546218,0.00002714415,0.00006239265,0.0001615272,0.0001022273],"domain_scores_gemma":[0.9987636,0.00003771241,0.0001393046,0.0001996147,0.0005257677,0.000334011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007618729,0.001378149,0.4400018,0.0003663937,0.00007426197,0.003106084,0.003025335,0.003405036,0.03257308,0.001016125,0.05150405,0.4627878],"study_design_scores_gemma":[0.00008711345,0.0009242916,0.8740939,0.0001315273,0.00005115024,0.0008423327,0.004837965,0.003899047,0.01085911,0.0003357381,0.1039054,0.0000323494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771152,0.0001949198,0.0023801,0.0003889752,0.0001258847,0.0007502901,0.002540681,0.0002567632,0.01624721],"genre_scores_gemma":[0.9362845,0.0004866703,0.01651505,0.0001971246,0.00004782414,0.0006713614,0.01251546,0.0001002092,0.03318191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9515021,"threshold_uncertainty_score":0.09643114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118674273640628,"score_gpt":0.21650405102753,"score_spread":0.2053173082911237,"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."}}