{"id":"W2482762780","doi":"10.1109/euronav.2016.7530544","title":"Benefits of GNSS IF data recording","year":2016,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Computer science; Bandwidth (computing); Real-time computing; Global Positioning System; Computer hardware; Electronic engineering; Telecommunications; Engineering","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":[0.00004083968,0.00003644438,0.00005042572,0.00002051264,0.000008191858,0.000005065304,0.0001696842,0.00001802356,0.0001885485],"category_scores_gemma":[0.00001797269,0.00002411269,0.000008055244,0.00002983307,0.000007947839,0.0001307293,0.00004148579,0.00001896417,0.00007114681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007507017,"about_ca_system_score_gemma":0.000002228319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900723,"about_ca_topic_score_gemma":0.000005034779,"domain_scores_codex":[0.9997416,0.000002581662,0.00008044528,0.00006843622,0.00003602907,0.0000709278],"domain_scores_gemma":[0.999665,0.00002819293,0.000007476416,0.000267297,0.00001420908,0.00001782321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001341857,0.00004920603,0.006856266,0.0001382422,0.0001315466,7.940238e-7,0.0002702302,0.004113309,0.1786848,0.04640455,0.137063,0.6262746],"study_design_scores_gemma":[0.001154017,0.0002245674,0.04430392,0.00219983,0.00004941638,0.00002914564,0.0001297125,0.05947193,0.8655213,0.002228341,0.02378157,0.0009062603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7084377,0.0001799367,0.0757061,0.0002699538,0.0006244417,0.00004856832,0.00008838167,0.0004019525,0.2142429],"genre_scores_gemma":[0.9981384,0.00004082871,0.001167228,0.000006285481,0.00002897921,7.760338e-7,0.00000414348,0.000006351842,0.0006070685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6868365,"threshold_uncertainty_score":0.2064474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038257571093151,"score_gpt":0.2358766690782146,"score_spread":0.1954940933672831,"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."}}