{"id":"W4406029041","doi":"10.1002/9781394155293.ch11","title":"Case Study #3","year":2025,"lang":"en","type":"other","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Attitude and heading reference system; Dead reckoning; Heading (navigation); Kalman filter; MATLAB; Computer science; Sensor fusion; Inertial navigation system; Inertial measurement unit; Pedestrian; Artificial intelligence; Simulation; Control engineering; Computer vision; Engineering; Inertial frame of reference; Aerospace engineering; Global Positioning System","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":[0.001227083,0.0005600647,0.0003852779,0.001161041,0.00336868,0.002261569,0.00122286,0.003108268,0.02815681],"category_scores_gemma":[0.004434813,0.000206165,0.0006262646,0.001596566,0.001042595,0.001347118,0.001738545,0.001689052,0.007305399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918452,"about_ca_system_score_gemma":0.002313538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01732735,"about_ca_topic_score_gemma":0.02938231,"domain_scores_codex":[0.9987919,0.0003520978,0.00008183478,0.0001405583,0.0003295341,0.0003041868],"domain_scores_gemma":[0.9983159,0.0005639847,0.0001284783,0.0001364653,0.0003661958,0.0004888627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001540159,0.002210686,0.06570055,0.001336198,0.0001250691,0.2222434,0.02052461,0.008594459,0.006207861,0.07086506,0.3531979,0.247454],"study_design_scores_gemma":[0.00009773816,0.0005849887,0.01649277,0.0007100208,0.00005298573,0.09970455,0.0308054,0.003107417,0.004224512,0.01124199,0.8328771,0.0001005521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5658554,0.003191243,0.05232716,0.02385205,0.001491159,0.002247985,0.009337155,0.001151891,0.340546],"genre_scores_gemma":[0.7196023,0.003285068,0.03510528,0.007489958,0.0002711035,0.001275379,0.004971306,0.0006468568,0.2273527],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02815681,"threshold_uncertainty_score":0.09419394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120667144756494,"score_gpt":0.2293446848464747,"score_spread":0.2181380133989098,"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."}}