{"id":"W3082849080","doi":"","title":"Tidal River Dynamics: Observation, Prediction, and Modeling I","year":2018,"lang":"en","type":"article","venue":"2018 Ocean Sciences Meeting","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Geology; Meteorology; Hydrology (agriculture); Oceanography; Climatology; Geography; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005861936,0.0003619108,0.0004341649,0.0002991848,0.0002689707,0.001215379,0.0004314666,0.0005264678,0.001061478],"category_scores_gemma":[0.002246426,0.0004280344,0.0005958817,0.0007544211,0.0003636097,0.001359369,0.0004737475,0.0007776212,0.0003780884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007161584,"about_ca_system_score_gemma":0.00121443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03681272,"about_ca_topic_score_gemma":0.01784088,"domain_scores_codex":[0.9998161,0.0000360986,0.00001597673,0.00008171769,0.0000347731,0.0000153596],"domain_scores_gemma":[0.9995229,0.0002332219,0.00008011531,0.00008185469,0.00006027793,0.00002169558],"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":[0.0002406583,0.0002588521,0.1450162,0.0001551049,0.0001928176,0.00007335978,0.0001054121,0.6805279,0.004767571,0.007264611,0.008821832,0.1525757],"study_design_scores_gemma":[0.00002080922,0.00003636593,0.02145877,0.00001391037,0.00002803372,0.00001338541,0.00002057831,0.9733079,0.0009789374,0.002598441,0.00150628,0.00001656986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8185674,0.003032584,0.1584846,0.003473987,0.0002671677,0.00009129583,0.005561879,0.001373177,0.009147899],"genre_scores_gemma":[0.9723479,0.001479604,0.02090097,0.00005793421,0.0002037995,0.00004165799,0.002849711,0.00006783033,0.002050607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03681272,"threshold_uncertainty_score":0.07319689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255080388057055,"score_gpt":0.2212593103666229,"score_spread":0.1957512715609173,"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."}}