{"id":"W3131832053","doi":"10.3390/s21041327","title":"Accelerometer-Based Wheel Odometer for Kinematics Determination","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Odometer; Accelerometer; Odometry; Kinematics; Inertial measurement unit; Computer science; Inertial navigation system; Automotive engineering; Process (computing); Simulation; Inertial frame of reference; Engineering; Computer vision; Artificial intelligence; Mobile robot; Robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002525366,0.001153524,0.0007341568,0.001345298,0.0003332038,0.0006310369,0.0008763428,0.0004471366,0.004111692],"category_scores_gemma":[0.001042288,0.0003705423,0.0003081406,0.001172862,0.0001560442,0.0006943375,0.0007343668,0.000473606,0.003623921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068692,"about_ca_system_score_gemma":0.0007262698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345133,"about_ca_topic_score_gemma":0.004676883,"domain_scores_codex":[0.9992959,0.00005612227,0.00004946769,0.0001352269,0.0004106939,0.00005247795],"domain_scores_gemma":[0.9993815,0.00004840954,0.000069887,0.00008633811,0.0003893336,0.00002445169],"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":[0.0005049641,0.0002957128,0.02272196,0.001711438,0.0001716465,0.000222658,0.0002796742,0.007010999,0.2832691,0.005291208,0.01590658,0.662614],"study_design_scores_gemma":[0.0002186885,0.001411528,0.09386804,0.0005423625,0.000484241,0.001955081,0.0006016548,0.2843469,0.431118,0.003987509,0.1810916,0.0003744866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09392608,0.001819556,0.8710688,0.0001329557,0.001152586,0.0005684722,0.004283663,0.006530602,0.02051725],"genre_scores_gemma":[0.7044633,0.002061924,0.2712314,0.0001859161,0.0002043015,0.0004807443,0.004471069,0.0002144584,0.01668687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004111692,"threshold_uncertainty_score":0.0137549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921442535303181,"score_gpt":0.2445205473872438,"score_spread":0.225306122034212,"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."}}