{"id":"W2916978219","doi":"10.33012/2019.16671","title":"An Evaluation of WAAS to Meet Maritime Navigation Requirements in Canadian Waters","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institute of Navigation ... International Technical Meeting/Proceedings of the ... International Technical Meeting of The Institute of Navigation","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Differential GPS; Global Positioning System; Computer science; Coast guard; Civil aviation; GNSS applications; Satellite navigation; Aviation; Remote sensing; Aeronautics; Telecommunications; Marine engineering; Engineering; Geography; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00453218,0.0004964994,0.0008401237,0.000690637,0.0001444379,0.00006135054,0.004075866,0.0004932318,0.00002942018],"category_scores_gemma":[0.002625836,0.0003998617,0.0005451776,0.001827449,0.0007802461,0.001586374,0.0007105559,0.0006579262,0.00000252966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274645,"about_ca_system_score_gemma":0.000363807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00527091,"about_ca_topic_score_gemma":0.0005955236,"domain_scores_codex":[0.9921629,0.00003688683,0.00314735,0.0006338413,0.003577653,0.0004413886],"domain_scores_gemma":[0.991721,0.0001295502,0.002692525,0.0004954984,0.004777022,0.0001843579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002126817,0.000305122,0.04454064,0.0007536664,0.0001646372,2.251619e-7,0.0002938145,0.03454965,0.8714284,0.04625018,0.0003763942,0.001124543],"study_design_scores_gemma":[0.002107805,0.0002212344,0.04133285,0.01485703,0.0002580854,0.00004081854,0.000279259,0.02343682,0.8987509,0.01692817,0.001204217,0.0005828259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691184,0.00002808832,0.00002781718,0.002195261,0.002376369,0.001996536,0.0001968942,0.00008878579,0.02397186],"genre_scores_gemma":[0.9929422,0.00001580406,0.00654548,0.00006508517,0.0001293592,0.00009885547,0.00008509227,0.00006091467,0.00005723092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02932201,"threshold_uncertainty_score":0.9998453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781119440114025,"score_gpt":0.2775475299061148,"score_spread":0.2597363355049745,"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."}}