{"id":"W2059861708","doi":"10.1007/pl00012800","title":"Heading and Pitch Determination Using GPS/GLONASS","year":2000,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"GLONASS; Global Positioning System; Real Time Kinematic; Heading (navigation); Computer science; GNSS applications; GPS disciplined oscillator; GPS signals; Precise Point Positioning; Assisted GPS; Geodesy; Telecommunications; Geography","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":[0.0003577525,0.0006415757,0.0005840871,0.001037624,0.0006590727,0.0009792056,0.0004481639,0.0005210395,0.006159369],"category_scores_gemma":[0.001194636,0.0003332562,0.0003041232,0.0009188976,0.0002621441,0.0006159319,0.0008759508,0.0005039006,0.006741678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575549,"about_ca_system_score_gemma":0.000740837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856348,"about_ca_topic_score_gemma":0.007955049,"domain_scores_codex":[0.9994468,0.00007720289,0.00002613211,0.0001080382,0.0002673791,0.00007450483],"domain_scores_gemma":[0.9996632,0.00003213851,0.00002849721,0.00006611516,0.0001882207,0.00002189711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006752828,0.00006042644,0.01279058,0.0002902617,0.00009522147,0.0002307281,0.0005671669,0.01435251,0.1471491,0.005541796,0.0102437,0.8080033],"study_design_scores_gemma":[0.0004985576,0.0009852545,0.09014194,0.0003720399,0.0004396379,0.002178808,0.001116203,0.3045115,0.3475245,0.008697351,0.2432375,0.0002967129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1371237,0.0009100385,0.7619879,0.0003890567,0.0005623893,0.0002076563,0.00191664,0.01519442,0.08170816],"genre_scores_gemma":[0.621574,0.0004892243,0.3400796,0.000273352,0.000178835,0.0001123685,0.002488479,0.0006380469,0.03416605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006159369,"threshold_uncertainty_score":0.02060515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856312274434143,"score_gpt":0.2450656755972046,"score_spread":0.2165025528528632,"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."}}