{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001814163,0.00009540517,0.0001317754,0.00009608544,0.000006050881,0.00001653416,0.00004362118,0.00007905049,0.001312687],"category_scores_gemma":[7.557241e-7,0.000080511,0.0000184025,0.00005051484,0.000001625359,0.000002758526,0.00000973693,0.00005154133,0.0002127978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007891108,"about_ca_system_score_gemma":0.000005027906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007520544,"about_ca_topic_score_gemma":0.0003418896,"domain_scores_codex":[0.9997462,0.000004977806,0.00007485563,0.00006965867,0.00003820052,0.00006610181],"domain_scores_gemma":[0.9998001,0.000004061305,0.000006858019,0.000170496,0.000003064908,0.00001544978],"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":[1.656869e-8,0.00001162038,0.00001406269,0.00007733308,0.00009992519,0.002434928,0.00002216644,0.001099199,6.787802e-7,0.00006263176,0.9956628,0.000514634],"study_design_scores_gemma":[0.0002497263,0.00001801124,0.000002497591,0.000141699,0.00005398132,0.0003719087,0.0008551712,0.02603512,0.000005353444,0.000003764844,0.9719082,0.0003546202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003191962,0.0002385815,0.001700013,9.324858e-7,0.0007755623,0.0002071907,0.000005378075,0.001535741,0.9955047],"genre_scores_gemma":[0.0304248,0.000007356316,0.0001274646,0.000003726502,0.00008122237,0.000007817464,0.00000138032,0.0001753883,0.9691709],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03039288,"threshold_uncertainty_score":0.9996002,"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."}}