{"id":"W2137296782","doi":"10.3390/jsan1030166","title":"Low Cost Multisensor Kinematic Positioning and Navigation System with Linux/RTAI","year":2012,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Embedded system; Global Positioning System; Inertial navigation system; Inertial measurement unit; Software; Computer science; Kinematics; Navigation system; Kalman filter; Real-time computing; Operating system; Inertial frame of reference; Artificial intelligence","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":[0.00019247,0.0001560212,0.0002567112,0.00006841264,0.0001033056,0.00006802569,0.00003348647,0.000100566,0.00000480826],"category_scores_gemma":[0.00001069468,0.000118362,0.00003794802,0.0001030138,0.00003302859,0.0003745462,0.000006683031,0.0002666798,0.000001993458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005762856,"about_ca_system_score_gemma":0.000004220238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004505694,"about_ca_topic_score_gemma":7.910928e-7,"domain_scores_codex":[0.9991456,0.00003314979,0.0003473244,0.00006787902,0.0001679785,0.000238026],"domain_scores_gemma":[0.9993814,0.00009498018,0.0001610276,0.00006533845,0.0001037459,0.0001935583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001044796,0.0002934884,0.02789416,0.00356866,0.001082398,0.0004602667,0.00808649,0.7656587,0.08658264,0.001058771,0.00117787,0.1030917],"study_design_scores_gemma":[0.002994783,0.0003166207,0.02896609,0.003677818,0.0004213688,0.005810124,0.001945797,0.9433297,0.01152442,0.000009583834,0.000287741,0.000715939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748427,0.0007344819,0.02369587,0.00002366022,0.0003545262,0.0001562455,0.000002765623,0.00004781063,0.000141991],"genre_scores_gemma":[0.9968202,0.00009669204,0.002071441,0.00001895413,0.000945995,0.000002007597,0.000006217981,0.00002989123,0.000008585175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.177671,"threshold_uncertainty_score":0.4826662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004536429669543509,"score_gpt":0.193525180376668,"score_spread":0.1889887507071245,"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."}}