{"id":"W1992558361","doi":"10.3390/s131115221","title":"A New Approach for Improving Reliability of Personal Navigation Devices under Harsh GNSS Signal Conditions","year":2013,"lang":"en","type":"article","venue":"Sensors","topic":"GNSS positioning and interference","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Unavailability; Computer science; Reliability (semiconductor); GNSS augmentation; Multipath propagation; SIGNAL (programming language); Real-time computing; Satellite navigation; Multipath mitigation; Satellite system; Global Positioning System; Remote sensing; Reliability engineering; Engineering; Telecommunications; Channel (broadcasting)","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":[0.0004414629,0.0008554038,0.000562796,0.0009043235,0.0004032045,0.0005966389,0.0009309652,0.0008869133,0.0009474101],"category_scores_gemma":[0.001246478,0.0002575095,0.0005321849,0.000518667,0.0004098379,0.0008899409,0.0005901812,0.0005851639,0.0005999345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003890785,"about_ca_system_score_gemma":0.000466988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231728,"about_ca_topic_score_gemma":0.001686035,"domain_scores_codex":[0.9992197,0.00008547935,0.00005135365,0.0002184537,0.0003673325,0.00005775339],"domain_scores_gemma":[0.9993316,0.0001096692,0.0001238241,0.0001365834,0.0002759527,0.00002252441],"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":[0.0002667334,0.0001294914,0.002016558,0.0003066606,0.0001126633,0.0002261462,0.0002349484,0.05204596,0.3844699,0.006718443,0.001865613,0.5516068],"study_design_scores_gemma":[0.00005809878,0.001219758,0.006112359,0.00005484402,0.0002127834,0.001378661,0.00008021249,0.7354286,0.233906,0.004004521,0.01743178,0.0001123509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01917603,0.0005021449,0.9779719,0.0001053384,0.00007754639,0.00003904926,0.00002919672,0.0009390001,0.001159761],"genre_scores_gemma":[0.484395,0.0006675755,0.5091333,0.0001815521,0.0001908408,0.00007804078,0.0001240396,0.00008546363,0.005144214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001231728,"threshold_uncertainty_score":0.003169417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506919788207783,"score_gpt":0.2317464700963986,"score_spread":0.2166772722143208,"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."}}