{"id":"W2131054710","doi":"10.1175/jtech-d-12-00016.1","title":"Adaptation of Classical Tidal Harmonic Analysis to Nonstationary Tides, with Application to River Tides","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Portland State University; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Tidal river; Harmonic analysis; Forcing (mathematics); Bathymetry; Tidal Waves; Tide gauge; Hindcast; Amplitude; Geology; Harmonic; Meteorology; Geodesy; Environmental science; Climatology; Mathematics; Physics; Estuary; Geophysics; Sea level; Oceanography; Acoustics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001062507,0.0005798715,0.0004160883,0.0007775805,0.0001713387,0.0004344145,0.0005191413,0.0004069108,0.001782727],"category_scores_gemma":[0.003877958,0.0002450721,0.0004684317,0.0005475967,0.0003012309,0.0004324037,0.0008221885,0.0004863924,0.0006570535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247275,"about_ca_system_score_gemma":0.0004397687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745472,"about_ca_topic_score_gemma":0.003801573,"domain_scores_codex":[0.9996035,0.0001288256,0.00002820963,0.00009869028,0.0001213889,0.00001943902],"domain_scores_gemma":[0.9987789,0.0006377883,0.00005852331,0.0001663299,0.0003152695,0.00004311207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001757439,0.0001922749,0.0085046,0.0001363584,0.0001969367,0.0002199051,0.0001847643,0.2446568,0.03251679,0.003432304,0.00173341,0.70805],"study_design_scores_gemma":[0.0000122374,0.00003022315,0.003055513,0.000003040352,0.00001100259,0.00002903515,0.00001261717,0.9924441,0.002400727,0.0007995128,0.001189957,0.00001199029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03521832,0.00006569622,0.9628738,0.00006802941,0.00005629632,0.00008433727,0.00008764505,0.0008233896,0.00072249],"genre_scores_gemma":[0.3520383,0.0002500316,0.6437976,0.00008974424,0.0001484258,0.0001883381,0.000376398,0.0002809145,0.002830334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003745472,"threshold_uncertainty_score":0.007447302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005395129136862221,"score_gpt":0.2010497031251603,"score_spread":0.1956545739882981,"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."}}