{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003613713,0.0000932787,0.00007863424,0.00007353613,0.00003150561,0.00001218488,0.0001033083,0.00008376953,0.0007998191],"category_scores_gemma":[0.000007156351,0.00008299417,0.00002630538,0.000141611,0.00004001033,0.0001013989,0.00002103349,0.00006893373,0.0002785247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002079171,"about_ca_system_score_gemma":0.000002996396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002619113,"about_ca_topic_score_gemma":0.000008092492,"domain_scores_codex":[0.9995549,0.000004882535,0.0001394627,0.00008476459,0.00006728261,0.000148732],"domain_scores_gemma":[0.9997784,0.000006397179,0.00001023648,0.0001559568,0.00002554953,0.000023453],"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":[0.00006148655,0.000249024,0.05565219,0.0006831059,0.0001786029,0.0001191553,0.01120814,0.002842867,0.06545123,0.2122651,0.01580277,0.6354863],"study_design_scores_gemma":[0.0004879283,0.0001753821,0.0183885,0.0000299258,0.00002195434,0.00003596296,0.000759961,0.04267593,0.9152763,0.01679892,0.004791833,0.0005573859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5558535,0.0004517006,0.2422942,0.00003951808,0.0005715957,0.000259756,0.000003866533,0.004784665,0.1957412],"genre_scores_gemma":[0.9948764,0.00002099839,0.004682801,0.00003461479,0.00001787124,0.0000159247,0.000006561605,0.00001777378,0.0003270581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8498251,"threshold_uncertainty_score":0.8757458,"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."}}