{"id":"W2058846534","doi":"10.1002/j.2161-4296.2011.tb02586.x","title":"Multi-Magnetometer Based Perturbation Mitigation for Indoor Orientation Estimation","year":2011,"lang":"en","type":"article","venue":"NAVIGATION Journal of the Institute of Navigation","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Magnetometer; Orientation (vector space); Magnetic field; Computer science; Perturbation (astronomy); Earth's magnetic field; Remote sensing; Environmental science; Physics; Geography; Mathematics","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":[0.0002271293,0.0006938758,0.000522548,0.0004553131,0.0002750509,0.000286522,0.0005661951,0.0005089018,0.0007928613],"category_scores_gemma":[0.0006692102,0.0002293984,0.0003084175,0.000392943,0.0001390138,0.0002921988,0.0003493077,0.0003897003,0.0006097694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226731,"about_ca_system_score_gemma":0.0003364381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333049,"about_ca_topic_score_gemma":0.001827109,"domain_scores_codex":[0.9997478,0.00006218784,0.000010982,0.00005136541,0.00009963344,0.00002808479],"domain_scores_gemma":[0.9996467,0.00007606759,0.00005695694,0.00005082095,0.0001505567,0.00001897407],"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":[0.0009663308,0.0002071256,0.005481548,0.0002948467,0.0001313055,0.0003322391,0.0001232553,0.08175558,0.4962263,0.001131845,0.00303374,0.4103158],"study_design_scores_gemma":[0.00004800826,0.0006892699,0.009075147,0.00003362414,0.0001042838,0.0006923412,0.00006899594,0.7629163,0.2195381,0.0004972381,0.006275281,0.00006137796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08642848,0.0004531528,0.9093546,0.0001527776,0.00022204,0.00004632557,0.00008259623,0.001506822,0.001753214],"genre_scores_gemma":[0.7998395,0.0002616497,0.1975894,0.00006800083,0.00008103812,0.00004075149,0.0001518654,0.00003923444,0.001928566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001333049,"threshold_uncertainty_score":0.002652407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384705618952011,"score_gpt":0.2503594995500136,"score_spread":0.2265124433604935,"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."}}