{"id":"W3088162931","doi":"10.1109/smc42975.2020.9283387","title":"FLC tuned with Gravitational Search Algorithm for Nonlinear Pose Filter","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Thompson","keywords":"Robustness (evolution); Initialization; Nonlinear system; Computer science; Control theory (sociology); Filter (signal processing); Algorithm; Pose; Rate of convergence; Artificial intelligence; Computer vision","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":[0.00005218773,0.0001946284,0.0001819939,0.00005997231,0.00003625604,0.0000463891,0.0001102411,0.0001457928,0.0001223071],"category_scores_gemma":[0.000008100531,0.0001621462,0.00008152983,0.00007116608,0.00001529019,0.00003114177,0.00003701655,0.0003414982,0.00009415451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897813,"about_ca_system_score_gemma":0.00003215365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002027834,"about_ca_topic_score_gemma":0.000005106756,"domain_scores_codex":[0.9991729,0.00001117977,0.0001636144,0.0002415325,0.0002312353,0.0001794856],"domain_scores_gemma":[0.999568,0.00006799071,0.00001592585,0.0001463161,0.0001256205,0.00007608147],"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":[0.0007071549,0.0002591236,0.00005800765,0.001988956,0.001225171,0.00008420755,0.002004005,0.690144,0.02424513,0.004509534,0.0505725,0.2242022],"study_design_scores_gemma":[0.0005773252,0.0001570244,0.0002171508,0.00006477534,0.00002932441,0.00000230105,0.00002588953,0.9642236,0.03081491,0.0008435945,0.002710305,0.0003338585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03944424,0.00004655117,0.9431205,0.00174126,0.001460121,0.00206839,0.001919932,0.0008470412,0.009351969],"genre_scores_gemma":[0.2084278,0.00002188328,0.776732,0.0007181513,0.003528343,0.0003050673,0.007771217,0.0002395806,0.002255931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2740795,"threshold_uncertainty_score":0.6612129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308130204298051,"score_gpt":0.2613975057302172,"score_spread":0.2383162036872367,"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."}}