{"id":"W2051036170","doi":"10.1109/iembs.2011.6091315","title":"Indoor waypoint navigation via magnetic anomalies","year":2011,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Waypoint; Computer science; Real-time computing; Navigation system; Radio navigation; Magnetometer; Embedded system; Simulation; Telecommunications; Global Positioning System; Magnetic field","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":[0.0001485281,0.0003071604,0.000318133,0.0008739188,0.0002146254,0.0004978817,0.0004758427,0.000341809,0.001247127],"category_scores_gemma":[0.0007288657,0.0001650963,0.0001940682,0.0005859745,0.000184444,0.0004275016,0.0007976256,0.0002343974,0.0005796208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269451,"about_ca_system_score_gemma":0.0002912912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004025696,"about_ca_topic_score_gemma":0.00662588,"domain_scores_codex":[0.999797,0.00002805876,0.00000543071,0.00005369706,0.0000871981,0.00002847226],"domain_scores_gemma":[0.999756,0.00006215196,0.00004502017,0.00003681932,0.00008324508,0.00001676518],"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":[0.0006635182,0.00008887169,0.02090031,0.0003021914,0.00007600018,0.0006553497,0.001284904,0.03111639,0.2339659,0.004041323,0.005135529,0.7017697],"study_design_scores_gemma":[0.0001325846,0.0008828163,0.08096244,0.0001684616,0.0001874896,0.002544719,0.0009669144,0.632352,0.2141606,0.006327862,0.06109288,0.000221187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3012955,0.0004279209,0.6785315,0.0001433994,0.0001284969,0.0001276212,0.0006662268,0.009698315,0.008980996],"genre_scores_gemma":[0.8737157,0.0001740882,0.1223096,0.00003346632,0.00002510998,0.00006315923,0.0003576074,0.00007740477,0.003243867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004025696,"threshold_uncertainty_score":0.008004546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230206829215409,"score_gpt":0.171462121871633,"score_spread":0.1591600535794789,"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."}}