{"id":"W3016249221","doi":"","title":"Development and application of hydraulic geometry equations for tidal channel restoration in Atlantic Canada","year":2017,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Channel (broadcasting); Tidal current; Geometry; Oceanography; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139551,0.0000632665,0.0000846198,0.00002329287,0.0002290904,0.00001084176,0.0001154578,0.00004824355,0.000001602805],"category_scores_gemma":[0.0001421545,0.000064953,0.000007018794,0.00003538641,0.00005508904,0.0001293197,0.00002032481,0.00004966141,0.000003597738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000501405,"about_ca_system_score_gemma":0.00005173025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5140748,"about_ca_topic_score_gemma":0.938449,"domain_scores_codex":[0.9993659,0.000005764151,0.0002164382,0.0001608282,0.0001192784,0.000131814],"domain_scores_gemma":[0.9995816,0.0000792538,0.0001783604,0.0001155493,0.000008163178,0.00003707004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002596982,0.00007186594,0.9628271,0.00008600394,0.000009514932,0.000003688037,0.0008102448,0.02727989,0.003315794,0.00007733314,0.00006238539,0.005430205],"study_design_scores_gemma":[0.000240276,0.00001413462,0.9899851,0.00002752557,0.000007541174,6.789814e-7,0.00004177462,0.003527469,0.003844296,0.0001360293,0.002082347,0.00009279181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973797,0.0000163913,0.0006174543,0.000300809,0.00003357093,0.0001792387,0.000001763344,0.000006331288,0.001464707],"genre_scores_gemma":[0.9988391,0.000003813422,0.001001136,0.00004908791,0.00001183697,0.00003908477,0.0000272434,0.000004358988,0.0000243376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4243742,"threshold_uncertainty_score":0.489161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685437032518937,"score_gpt":0.2357317224994483,"score_spread":0.218877352174259,"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."}}