{"id":"W2970146513","doi":"10.1007/s10291-019-0907-2","title":"CASSIOPE orbit and attitude determination using commercial off-the-shelf GPS receivers","year":2019,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; European Space Agency; Canadian Space Agency; University of Calgary","keywords":"Global Positioning System; Pseudorange; Spacecraft; Orbit determination; Orbit (dynamics); Geodesy; Computer science; Remote sensing; Aerospace engineering; GNSS applications; Telecommunications; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007223467,0.00008231347,0.00007834742,0.00004799141,0.0002430566,0.00004881107,0.00008221446,0.00005448545,0.00005648527],"category_scores_gemma":[0.00001376831,0.00007602862,0.00002779097,0.00008991927,0.00004891425,0.0001530849,0.00003460728,0.0001400581,0.00009250183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000846258,"about_ca_system_score_gemma":0.00001458411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000923813,"about_ca_topic_score_gemma":0.00008360203,"domain_scores_codex":[0.9995172,0.00002290546,0.0001058335,0.0001015825,0.00007370773,0.000178792],"domain_scores_gemma":[0.9997269,0.00003865261,0.00001890417,0.0001424927,0.00003514129,0.00003793075],"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":[0.0001024937,0.0004879292,0.06761342,0.0007201333,0.0005826464,0.0000338597,0.02102743,0.2813537,0.3321582,0.03170856,0.0526919,0.2115197],"study_design_scores_gemma":[0.0007171548,0.0001165214,0.1073774,0.0003291287,0.0001016847,0.0001282634,0.0004317618,0.8717743,0.002411477,0.0003672876,0.01569459,0.0005504385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805115,0.0002474376,0.007880089,0.0001957579,0.0005614181,0.0001961934,0.00001890555,0.000143746,0.01024499],"genre_scores_gemma":[0.9989653,0.00003576339,0.0006491711,0.00003778903,0.00005268684,0.00001017742,0.000009459707,0.00001185179,0.0002278653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5904205,"threshold_uncertainty_score":0.3100357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104546720033531,"score_gpt":0.248741480818461,"score_spread":0.2176960136181257,"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."}}