{"id":"W3198915495","doi":"10.3390/rs13183642","title":"Carrier Phase-Based Precise Heading and Pitch Estimation Using a Low-Cost GNSS Receiver","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"GNSS positioning and interference","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Liaoning Revitalization Talents Program; Liaoning Technical University; China Scholarship Council; University of Calgary","keywords":"GNSS applications; Computer science; Heading (navigation); Ambiguity resolution; Global Positioning System; Real-time computing; Antenna (radio); Satellite system; Geodesy; Telecommunications; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002493141,0.000685591,0.0005668838,0.000670364,0.0002594577,0.000557886,0.0005591137,0.0004591829,0.000595295],"category_scores_gemma":[0.0007137249,0.0002781301,0.0002582643,0.0006030952,0.0002269062,0.0006117005,0.0005910568,0.0004969088,0.00070293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936399,"about_ca_system_score_gemma":0.0006860697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304754,"about_ca_topic_score_gemma":0.002526816,"domain_scores_codex":[0.9996705,0.00004181334,0.00001508072,0.00008441156,0.0001553499,0.00003269926],"domain_scores_gemma":[0.9998025,0.0000266123,0.00003729538,0.00003849853,0.00008358945,0.00001155654],"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":[0.0003355627,0.0001060152,0.007710974,0.0002662586,0.0001022538,0.000244703,0.0002000154,0.1247903,0.2104479,0.002556106,0.002828819,0.6504113],"study_design_scores_gemma":[0.0001093316,0.0002794533,0.006907959,0.00002798916,0.00008607098,0.0004357589,0.00007109676,0.926893,0.05867494,0.0008542247,0.005601534,0.00005862365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07266168,0.0003083639,0.923043,0.00006986722,0.0001088997,0.00005138683,0.00008039996,0.001453057,0.002223269],"genre_scores_gemma":[0.6745859,0.0003680391,0.32193,0.00007906415,0.00009319588,0.00008147051,0.0003794098,0.00006842118,0.002414518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002304754,"threshold_uncertainty_score":0.004582644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118881631812986,"score_gpt":0.2709796502751304,"score_spread":0.2497908339570005,"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."}}