{"id":"W2019738437","doi":"10.1109/plans.2012.6236865","title":"Combined Doppler and time free positioning technique for low dynamics receivers","year":2012,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Time to first fix; Global Positioning System; GNSS applications; Initialization; A priori and a posteriori; Position (finance); Doppler effect; Real-time computing; Ephemeris; Assisted GPS; Code (set theory); Satellite; Remote sensing; Algorithm; GPS signals; Telecommunications; Geography; Engineering; Set (abstract data type)","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":[0.00007027281,0.0000767597,0.00007457371,0.00003887554,0.0000561052,0.00002575391,0.00006169978,0.0000572397,0.0000696238],"category_scores_gemma":[0.00001162623,0.00007715572,0.00002030305,0.00003805672,0.00001768006,0.0001618689,0.00001723643,0.00006304792,0.00002141523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004966013,"about_ca_system_score_gemma":0.000002312468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008947435,"about_ca_topic_score_gemma":0.000001587704,"domain_scores_codex":[0.9996493,0.000005209259,0.00007979177,0.0000632078,0.00003567119,0.0001667968],"domain_scores_gemma":[0.9997709,0.00003598134,0.000009436961,0.0001051836,0.00002358192,0.00005490132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001550379,0.0003153394,0.007377125,0.00075277,0.00037622,0.000002021712,0.001962845,0.004898652,0.4881634,0.2375345,0.2525287,0.005933409],"study_design_scores_gemma":[0.001723822,0.0004349318,0.006080831,0.0004218861,0.00007990288,0.00009043067,0.0001915326,0.7277322,0.2540929,0.007328137,0.0007955117,0.001027923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1227849,0.00008950621,0.7251077,0.0002509741,0.0003502198,0.0005972787,0.00008083033,0.0009210852,0.1498176],"genre_scores_gemma":[0.9817559,0.000005939573,0.01731324,0.00003716733,0.00003174891,0.00005503241,0.00004438028,0.00001722865,0.0007394069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.858971,"threshold_uncertainty_score":0.3146319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004643823714765339,"score_gpt":0.1899560115614518,"score_spread":0.1853121878466864,"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."}}