{"id":"W2603531853","doi":"","title":"Tidal Height Retrieval Using Globally Corrected GPS in the Amundsen Gulf Region of the Canadian Arctic","year":2004,"lang":"en","type":"article","venue":"Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004)","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrography; Global Positioning System; Oceanography; Bay; Geodesy; Arctic; Geology; Meteorology; Geography; Environmental science; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005959651,0.0005448961,0.0003947771,0.001143213,0.0009652117,0.0009515592,0.0006559548,0.0003059641,0.0003647272],"category_scores_gemma":[0.001582292,0.0002063121,0.0002344718,0.002853466,0.0003601932,0.0005052579,0.0004964496,0.0002751597,0.000132178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005726797,"about_ca_system_score_gemma":0.008476186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9593948,"about_ca_topic_score_gemma":0.9860539,"domain_scores_codex":[0.9994228,0.00005055542,0.00002753977,0.0001254805,0.0002573078,0.0001162793],"domain_scores_gemma":[0.9994125,0.00003974967,0.00004630069,0.00002621186,0.0004194122,0.00005576643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004582755,0.0001178202,0.7816042,0.0001418298,0.0002668817,0.0005336119,0.001565897,0.04258598,0.02891462,0.0004942995,0.00340317,0.1399134],"study_design_scores_gemma":[0.00005580505,0.0001047662,0.937098,0.00004012283,0.0001075447,0.0001081607,0.00165157,0.05220008,0.004377014,0.0001025831,0.004068022,0.00008632044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955556,0.0002368742,0.0007975118,0.00006007504,0.00001319384,0.00001953952,0.001090628,0.00007931365,0.002147249],"genre_scores_gemma":[0.993637,0.0001685748,0.003302068,0.000029317,0.000004557866,0.000008799017,0.00206137,0.00002285789,0.0007655793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04060525,"threshold_uncertainty_score":0.0816887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716393692433424,"score_gpt":0.2464205223206099,"score_spread":0.2192565853962756,"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."}}