{"id":"W1989098206","doi":"10.5670/oceanog.2009.79","title":"APPLICATIONS IN COASTAL MODELING AND FORECASTING","year":2009,"lang":"en","type":"article","venue":"Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Fisheries and Oceans Canada","funders":"","keywords":"Data assimilation; Rendering (computer graphics); Meteorology; Computer science; Scale (ratio); Climatology; Environmental science; Oceanography; Geology; Geography; Cartography; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108179,0.00009807884,0.0001112991,0.00006978941,0.0001250393,0.00004409739,0.00009019882,0.00003719945,0.00003302891],"category_scores_gemma":[0.000008124786,0.00008360743,0.00003773647,0.0007328521,0.00004550912,0.0001937818,0.000003990276,0.00008851392,0.000002026689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":3.698726e-7,"about_ca_system_score_gemma":0.00001105695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008256493,"about_ca_topic_score_gemma":0.0003823871,"domain_scores_codex":[0.9993173,0.00001119141,0.0001601839,0.0001929798,0.0001037854,0.0002145819],"domain_scores_gemma":[0.9997548,0.0000383949,0.00003457696,0.00007739096,0.00001822247,0.00007659485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006056603,0.00001138464,0.9311131,0.000008469473,0.000002550013,0.000001669536,0.00007244273,0.001669399,0.000001833029,0.000182711,0.000009494613,0.0669209],"study_design_scores_gemma":[0.0003496291,0.0001140849,0.7332397,0.00003545115,0.00001008902,0.00001160312,0.000760115,0.2470316,0.000009582136,0.0172067,0.0009367213,0.0002947361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842498,0.00159596,0.004976233,0.00007777578,0.0000197115,0.0001127839,0.00001131949,0.0000537892,0.008902623],"genre_scores_gemma":[0.9961611,0.0001847493,0.003436732,0.0001458514,0.00003114854,5.074269e-7,0.00002961437,0.000001678884,0.00000861395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2453622,"threshold_uncertainty_score":0.3409412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138625522688529,"score_gpt":0.2031208727036148,"score_spread":0.189258320434762,"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."}}