{"id":"W2034216513","doi":"10.1002/2013jc009612","title":"Physical modeling of tidal resonance in a submarine canyon","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Canyon; Geology; Internal tide; Submarine canyon; Oceanography; Stratification (seeds); Upwelling; Continental shelf; Submarine pipeline; Geomorphology; Internal wave","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000114549,0.0002959249,0.0002486129,0.0002440028,0.0004753527,0.0004869142,0.0004791061,0.0004610355,0.001119585],"category_scores_gemma":[0.000311485,0.0002619217,0.0003107583,0.000187663,0.0003240519,0.0002505744,0.0004269549,0.0002486761,0.0001545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008316003,"about_ca_system_score_gemma":0.0006671752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06168022,"about_ca_topic_score_gemma":0.04513177,"domain_scores_codex":[0.999961,0.000006087979,0.000001763204,0.00001286259,0.000005405814,0.0000128742],"domain_scores_gemma":[0.999885,0.0000321393,0.00001771147,0.00001350038,0.00001677361,0.00003481795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006850944,0.00003758772,0.02689951,0.00001585305,0.00002341781,0.0002434529,0.00008704705,0.9630675,0.005799035,0.001006862,0.000363966,0.002387307],"study_design_scores_gemma":[0.00001877877,0.00004205108,0.01173193,0.000004368633,0.000009113572,0.00002543298,0.00004450578,0.9872573,0.0003262163,0.0002432348,0.0002899058,0.00000715606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901375,0.0000398291,0.006085956,0.00004594784,0.000007184045,0.00001303035,0.00009505054,0.00008679403,0.003488725],"genre_scores_gemma":[0.9988398,0.00001998413,0.0005787275,0.000005136256,0.000001453478,0.000005794404,0.00003571036,0.00001000177,0.0005034573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06168022,"threshold_uncertainty_score":0.1226424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789397672154215,"score_gpt":0.2899529286589932,"score_spread":0.262058951937451,"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."}}