{"id":"W4414229444","doi":"10.1109/access.2025.3610346","title":"Autonomous Mobile Robot Design and Testing for Data Center Monitoring Mission","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Obstacle; Mobile robot; Robot; Obstacle avoidance; Data center; Mobile robot navigation; Trajectory; Automation; Lidar","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":[0.000147849,0.0001031456,0.0001305335,0.00005915053,0.00008429319,0.0002090358,0.0003654495,0.00005341169,0.00000110533],"category_scores_gemma":[0.00002984619,0.00009748085,0.0000103252,0.0001300102,0.000007069755,0.0002590688,0.00008824002,0.00005951775,0.000001421044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000264156,"about_ca_system_score_gemma":0.00001687338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000198315,"about_ca_topic_score_gemma":3.197243e-7,"domain_scores_codex":[0.999395,0.00001113677,0.0001774142,0.0001893631,0.00004922358,0.0001778712],"domain_scores_gemma":[0.9994538,0.0001548876,0.00002320965,0.0002986926,0.00003069516,0.00003875456],"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":[0.00000373352,0.00001653743,0.005017639,0.0004036693,0.00003985171,0.000002964022,0.0000379589,0.9224961,0.0353911,0.000007553886,0.003260151,0.03332277],"study_design_scores_gemma":[0.0002437828,0.00001278095,0.0006036498,0.0003056554,0.00001415775,0.000002517232,0.0000117515,0.9744987,0.02227478,0.00005351609,0.001863634,0.0001150864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07650634,0.001004754,0.918215,0.00001836024,0.002460608,0.0006788783,0.00002017043,0.000501546,0.0005943254],"genre_scores_gemma":[0.9723977,0.00001753559,0.02724478,0.000009046711,0.0001493609,0.00004126193,0.000009808589,0.00002534272,0.0001051901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8958913,"threshold_uncertainty_score":0.3975154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119884420402924,"score_gpt":0.346192539498288,"score_spread":0.2342040974579956,"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."}}