{"id":"W4408636263","doi":"10.1017/s0263574725000268","title":"Mobile robot tracking control based on lightweight network","year":2025,"lang":"en","type":"article","venue":"Robotica","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Mobile robot; Tracking (education); Artificial intelligence; Control (management); Robot; Robot control; 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":[0.0005387046,0.0002681414,0.0003783463,0.000179901,0.0002898703,0.0002471847,0.001161747,0.0001501927,0.00001926347],"category_scores_gemma":[0.0001236336,0.0002446526,0.0001324618,0.0008660735,0.00005320408,0.0001942528,0.000108673,0.0003654386,0.000190683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009433225,"about_ca_system_score_gemma":0.0001909164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005233721,"about_ca_topic_score_gemma":5.396358e-7,"domain_scores_codex":[0.9977271,0.0001940993,0.0003643546,0.0006517013,0.0003874336,0.0006753192],"domain_scores_gemma":[0.9978841,0.0007040122,0.0001003345,0.001067343,0.00009978699,0.0001444504],"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":[0.00001177971,0.00009910814,0.000710225,0.0000136492,0.00002764858,0.00005877505,0.00005101321,0.9695547,0.00005072977,0.01562467,0.00449769,0.009299969],"study_design_scores_gemma":[0.0008503236,0.0001996591,0.003226504,0.0002279992,0.00002532646,0.000004089604,0.000002817751,0.9906751,0.0002295381,0.001542641,0.002762162,0.0002538517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002075893,0.0002724143,0.9826247,0.002001625,0.001517155,0.0003713913,0.000001527473,0.0004923002,0.01269815],"genre_scores_gemma":[0.5701963,0.000004171925,0.4243251,0.004043694,0.0002610733,0.00008033546,0.000004159448,0.00002017623,0.001064955],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5701756,"threshold_uncertainty_score":0.9976643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009773516511639803,"score_gpt":0.2493159075295409,"score_spread":0.2395423910179011,"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."}}