{"id":"W2083953515","doi":"10.1007/s10291-005-0008-2","title":"Single GPS receiver time-relative positioning with loop misclosure corrections","year":2005,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Global Positioning System; Ephemeris; Geodesy; Precise Point Positioning; Satellite; Pseudorange; Position (finance); Remote sensing; Loop (graph theory); Computer science; Real-time computing; GNSS applications; Mathematics; Telecommunications; Geography; Physics","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":[0.0007373397,0.001366301,0.0009469674,0.001771462,0.001177647,0.001479571,0.001386618,0.001495173,0.008319723],"category_scores_gemma":[0.005337567,0.000739924,0.0006370228,0.002354662,0.0003986467,0.001576238,0.001580911,0.001349908,0.009611639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006190423,"about_ca_system_score_gemma":0.001134612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074556,"about_ca_topic_score_gemma":0.005422477,"domain_scores_codex":[0.9976435,0.0003450337,0.0001045347,0.000462821,0.00118714,0.0002568532],"domain_scores_gemma":[0.9974433,0.0002714664,0.0002425911,0.001190438,0.0007948871,0.0000573913],"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":[0.001297949,0.0001247646,0.006372389,0.0002957474,0.000223912,0.0002945422,0.0006306078,0.04823339,0.1223333,0.0148665,0.009697559,0.7956293],"study_design_scores_gemma":[0.0002156557,0.0009832082,0.0173302,0.0001956246,0.0005691919,0.003961211,0.0002712234,0.449064,0.4159439,0.01209779,0.09913297,0.0002350583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04322165,0.0004194222,0.928766,0.0002378895,0.0005525581,0.00007512164,0.0005407417,0.006448305,0.01973836],"genre_scores_gemma":[0.4584571,0.0003845364,0.5027837,0.0002950391,0.0002643304,0.0001400831,0.001685806,0.001076958,0.03491247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008319723,"threshold_uncertainty_score":0.02783227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287356751659861,"score_gpt":0.1956598475458256,"score_spread":0.182786280029227,"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."}}