{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110404,0.0005100046,0.0003331644,0.0008403892,0.0007361777,0.001441216,0.0008750728,0.0009773769,0.009538708],"category_scores_gemma":[0.00244595,0.0001699186,0.00022205,0.00107059,0.0005238429,0.001614904,0.001160637,0.0008152172,0.003470044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630172,"about_ca_system_score_gemma":0.0004242682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002100845,"about_ca_topic_score_gemma":0.002000458,"domain_scores_codex":[0.9994262,0.00008151797,0.00003432609,0.00006482831,0.0003348726,0.00005824077],"domain_scores_gemma":[0.9980731,0.0004363392,0.0001260576,0.0005205974,0.0007587868,0.00008519711],"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":[0.001351235,0.0001432189,0.01558094,0.001011935,0.00005652171,0.001120301,0.0005455325,0.01365732,0.1686188,0.04642982,0.01756187,0.7339225],"study_design_scores_gemma":[0.0001445119,0.001325024,0.03731073,0.0007598409,0.0004096885,0.01435232,0.001865824,0.02987109,0.2928408,0.0504663,0.5703478,0.0003060627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1614531,0.01206171,0.3016051,0.01223453,0.001923533,0.0001520262,0.00255153,0.005224144,0.5027943],"genre_scores_gemma":[0.84123,0.005375719,0.09945834,0.001123701,0.001517578,0.00006554504,0.001641398,0.0005327375,0.049055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009538708,"threshold_uncertainty_score":0.03191018,"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."}}