{"id":"W2074536625","doi":"10.1007/s10291-011-0244-6","title":"Improving vertical GPS precision with a GPS-over-fiber architecture and real-time relative delay calibration","year":2011,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université Laval; Centre de Géomatique du Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Instituto Tecnológico y de Estudios Superiores de Monterrey","keywords":"Global Positioning System; Calibration; Computer science; Precision Lightweight GPS Receiver; Baseline (sea); Component (thermodynamics); Assisted GPS; Antenna (radio); Real-time computing; Electronic engineering; Gps receiver; Engineering; Telecommunications; Mathematics; Physics; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006286003,0.0009819382,0.0004061981,0.001209966,0.0007129816,0.0008258377,0.0009875919,0.0008394983,0.003098099],"category_scores_gemma":[0.001912628,0.0004392251,0.0003443917,0.001499041,0.000434277,0.001658123,0.0008837244,0.0008765031,0.001769527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888388,"about_ca_system_score_gemma":0.0009385094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305734,"about_ca_topic_score_gemma":0.008612612,"domain_scores_codex":[0.9991347,0.0001183033,0.00003360299,0.0001739815,0.0004174409,0.0001219559],"domain_scores_gemma":[0.9987601,0.0001314308,0.000110733,0.0002908977,0.0006750119,0.00003191035],"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":[0.0006944683,0.0002012066,0.01107999,0.000205239,0.0001004133,0.00009205095,0.0002750454,0.04507279,0.4257956,0.009987099,0.00355145,0.5029446],"study_design_scores_gemma":[0.000227915,0.001078429,0.02918536,0.0001072722,0.0004338782,0.00121549,0.0001638421,0.39654,0.5179912,0.004512294,0.04835091,0.0001934264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.138,0.0004597011,0.8467532,0.0003805432,0.000213427,0.0000721466,0.0001756743,0.004616498,0.009328753],"genre_scores_gemma":[0.6100519,0.0003762492,0.3807969,0.0001411754,0.0001601394,0.00003803742,0.0004304774,0.0002803316,0.007724802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005305734,"threshold_uncertainty_score":0.01054972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353675362651432,"score_gpt":0.2013149658677455,"score_spread":0.1877782122412311,"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."}}