{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000404224,0.0007009169,0.0003071322,0.0006813867,0.0004521527,0.0007847426,0.0006786518,0.000602875,0.02803505],"category_scores_gemma":[0.0006120171,0.0001254872,0.0003223256,0.0009733245,0.0002472272,0.0007774301,0.0009976903,0.001378586,0.02451493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005462819,"about_ca_system_score_gemma":0.001168207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006610513,"about_ca_topic_score_gemma":0.006081853,"domain_scores_codex":[0.9996302,0.00005048901,0.00001612872,0.00005180915,0.0002087461,0.00004261266],"domain_scores_gemma":[0.999714,0.00001687448,0.00002760534,0.00006116352,0.0001521086,0.00002823142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002480712,0.00005924385,0.001929616,0.0004953591,0.0000476278,0.0003487401,0.0001863955,0.004021149,0.02265666,0.08085182,0.2979905,0.5911648],"study_design_scores_gemma":[0.000008190364,0.00003319594,0.0009438855,0.00009185891,0.000009132046,0.0001400747,0.00004400148,0.002244707,0.00219775,0.004866274,0.9894049,0.00001600366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0172158,0.01537304,0.2935593,0.007782625,0.008130788,0.0004891611,0.01485885,0.01387514,0.6287153],"genre_scores_gemma":[0.1560125,0.02061331,0.350545,0.003985943,0.002627928,0.0004867832,0.03947571,0.003810991,0.4224418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02803505,"threshold_uncertainty_score":0.0937866,"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."}}