{"id":"W3090971655","doi":"10.3390/jmse8100764","title":"SBAS/EGNOS for Maritime","year":2020,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Musculoskeletal Health and Arthritis; European GNSS Agency","keywords":"GNSS augmentation; GNSS applications; Global Positioning System; Computer science; Air navigation; Satellite navigation; Receiver autonomous integrity monitoring; Telecommunications; Remote sensing; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195199,0.00006579088,0.0001076494,0.00008743819,0.00003731546,0.00006298455,0.0001451944,0.00001478875,0.0000167695],"category_scores_gemma":[0.0001454528,0.00006005494,0.00002835079,0.0001844518,0.0000310547,0.0003071421,0.00004619972,0.0001127227,0.000001197933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001895759,"about_ca_system_score_gemma":0.00002234445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001074944,"about_ca_topic_score_gemma":6.635745e-8,"domain_scores_codex":[0.9994829,0.000001159956,0.0001617647,0.00006162634,0.000146182,0.0001463375],"domain_scores_gemma":[0.9996452,0.00002891565,0.00002296677,0.000036899,0.000124564,0.0001415032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007372662,0.00005437899,0.006020365,0.0009515439,0.000152681,0.00003421126,0.002055637,0.3251098,0.4424356,0.007500178,0.01372289,0.201889],"study_design_scores_gemma":[0.0004021677,0.000323845,0.007953517,0.000109555,0.00002331041,0.0001143081,0.00007785066,0.9609834,0.0233534,0.0002707112,0.006155754,0.0002321662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8303504,0.0002969348,0.1551988,0.001231405,0.001111981,0.0001424084,0.000005230459,0.0001551445,0.01150776],"genre_scores_gemma":[0.9906539,0.00002925975,0.009047744,0.00006103836,0.0001881726,0.000001361815,1.973873e-7,0.000007981172,0.00001029753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6358737,"threshold_uncertainty_score":0.2448969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037627896040321,"score_gpt":0.1982284458175532,"score_spread":0.18785216685715,"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."}}