{"id":"W4413917048","doi":"10.1109/icra55743.2025.11128287","title":"OMASTAR Optimal Magnetic Actuation System Arrangement","year":2025,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Control theory (sociology); Control (management); Artificial intelligence","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":[0.0004013196,0.0006478683,0.0005783254,0.0003419696,0.0004129837,0.0007013538,0.0005142917,0.0008995029,0.005424484],"category_scores_gemma":[0.0006218831,0.0002874613,0.0003731932,0.0002245546,0.0003615323,0.0004406873,0.0008721569,0.0003966899,0.001083773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130008,"about_ca_system_score_gemma":0.0005984295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008268181,"about_ca_topic_score_gemma":0.001239705,"domain_scores_codex":[0.9997525,0.00006935293,0.0000141908,0.00005107531,0.00007889255,0.00003397589],"domain_scores_gemma":[0.9998446,0.00004746989,0.00003618628,0.000016671,0.00004067148,0.00001445154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002307375,0.00008770991,0.0006071934,0.0002789891,0.00002900243,0.0002797466,0.00008615941,0.8598492,0.03812768,0.01357337,0.004360365,0.08248986],"study_design_scores_gemma":[0.0000370224,0.0001622875,0.0002448837,0.00001545203,0.00001170349,0.0001044526,0.00002933454,0.9855973,0.006044266,0.002617595,0.005119359,0.00001640925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0290707,0.0004874735,0.9434438,0.0004704107,0.000122837,0.0001559453,0.0001402678,0.0007102845,0.0253983],"genre_scores_gemma":[0.6535435,0.0003336091,0.331525,0.0002410844,0.00004766474,0.0003893547,0.0001846253,0.000110842,0.01362432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005424484,"threshold_uncertainty_score":0.01814663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002711277225579897,"score_gpt":0.180738377077692,"score_spread":0.1780270998521121,"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."}}