{"id":"W3093055699","doi":"10.3390/s20205866","title":"Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"GNSS positioning and interference","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Doppler effect; Satellite; Computer science; Remote sensing; Orbit determination; Constellation; Telecommunications link; Extended Kalman filter; Satellite constellation; Transmitter; Global Positioning System; Kalman filter; Telecommunications; Physics; Engineering; Geography; Artificial intelligence; Aerospace 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":[0.0007605612,0.0004816958,0.0005354015,0.0007578344,0.0002623131,0.0004564401,0.001016879,0.0004529518,0.001773744],"category_scores_gemma":[0.001084641,0.0002008381,0.0002886442,0.0004249024,0.0002131687,0.0004325296,0.0004274794,0.0005416919,0.001120588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003632757,"about_ca_system_score_gemma":0.0006809864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008582237,"about_ca_topic_score_gemma":0.0008466669,"domain_scores_codex":[0.9991196,0.0001656284,0.00004008717,0.000142058,0.0004633489,0.00006925781],"domain_scores_gemma":[0.9992767,0.0001134538,0.0001002066,0.000134852,0.0003413657,0.00003344292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009324185,0.0002851613,0.01584407,0.0004173495,0.0001537623,0.0003288415,0.0005615821,0.03743667,0.4910164,0.01024513,0.004739809,0.4380389],"study_design_scores_gemma":[0.0002785179,0.001959594,0.01018948,0.0000888787,0.0001950853,0.001344479,0.00009801219,0.5414813,0.3819458,0.00108187,0.06119565,0.0001412911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05346026,0.0003986323,0.938601,0.00008101513,0.000123481,0.0001146168,0.00008735748,0.003060716,0.00407294],"genre_scores_gemma":[0.6919526,0.000167174,0.3007372,0.0001319553,0.00008245682,0.0002219764,0.0004313644,0.0001389433,0.006136194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001773744,"threshold_uncertainty_score":0.005933762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389202287779756,"score_gpt":0.2131151304872533,"score_spread":0.1892231076094557,"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."}}