{"id":"W2538479157","doi":"10.1109/iecon.2009.5415430","title":"A fastened bolt tracking system for a hand-held tool using an inertial measurement unit and a triaxial magnetometer","year":2009,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"","keywords":"Inertial measurement unit; Accelerometer; Position (finance); Orientation (vector space); Tracking (education); Magnetometer; Tracking system; Computer science; System of measurement; Engineering; Control theory (sociology); Computer vision; Artificial intelligence; Physics; Mathematics; Kalman filter; Magnetic field; Geometry","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":[0.0002088745,0.000143553,0.0001967194,0.00009947262,0.00009479599,0.0001197303,0.00003795941,0.00008786311,0.000006502045],"category_scores_gemma":[0.00001931966,0.0001280181,0.00005617984,0.000116663,0.000009247105,0.0002134018,0.000004199874,0.00006174822,7.901859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008534072,"about_ca_system_score_gemma":0.00001238068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004320904,"about_ca_topic_score_gemma":0.00002477468,"domain_scores_codex":[0.9991717,0.00001944476,0.0002542016,0.0001522832,0.0001904337,0.0002119721],"domain_scores_gemma":[0.9996775,0.00001084096,0.00002319442,0.0001030782,0.0001170659,0.0000683273],"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":[0.0002529869,0.00003048455,0.0000360685,0.0001220508,0.00002401912,0.000003329855,0.0002314149,0.00325246,0.9631251,0.0001289868,0.00001331822,0.03277984],"study_design_scores_gemma":[0.003987673,0.0006951219,0.002084466,0.0001514512,0.0001469448,0.00006574299,0.0001544448,0.6705859,0.3212813,0.00003179282,0.0004028446,0.0004123266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374391,0.00005890012,0.06137322,0.00002727106,0.0001580913,0.0004755199,0.000004500898,0.0002014433,0.0002619802],"genre_scores_gemma":[0.9961157,0.000001257782,0.003500537,0.00004181386,0.0002835466,0.00001057478,0.000007947285,0.00002086091,0.00001773804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673334,"threshold_uncertainty_score":0.5220428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161096791065036,"score_gpt":0.2566891632882838,"score_spread":0.1950781953776334,"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."}}