{"id":"W4405909013","doi":"10.1109/wf-iot62078.2024.10811369","title":"Formation Control Design for Remote Field Monitoring with IoT-enabled Mobile Robots","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mobile robot; Computer science; Internet of Things; Field (mathematics); Robot; Control (management); Remote control; Human–computer interaction; Embedded system; Artificial intelligence; Operating system","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":[0.0001301546,0.00009967625,0.0001201859,0.00005627269,0.00003941716,0.0001298959,0.00005264043,0.00005957134,0.00001074024],"category_scores_gemma":[0.000006001255,0.00007435983,0.00003324375,0.00009172491,0.000002375356,0.00012738,0.000003081144,0.00006172135,0.00002197887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878937,"about_ca_system_score_gemma":0.000008720804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009886319,"about_ca_topic_score_gemma":0.000001239834,"domain_scores_codex":[0.9994894,0.000008370425,0.0001574761,0.00009089762,0.00007715842,0.0001766776],"domain_scores_gemma":[0.9996786,0.0001463308,0.00001028481,0.0001018511,0.00002837676,0.00003452368],"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":[0.00000784816,0.000001886512,0.000003770694,0.0002622643,0.00004500469,0.000004286935,0.00009845677,0.9812191,0.00859169,0.0001045381,0.001834512,0.007826648],"study_design_scores_gemma":[0.0002715017,0.0001014785,0.00000432178,0.0001952635,0.00001844023,0.000008438225,0.00006049032,0.9544517,0.04345206,0.00006619631,0.001261175,0.0001088738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003879168,0.0005114164,0.992238,0.00003784219,0.0006013882,0.000610116,0.000001642736,0.0008399997,0.001280459],"genre_scores_gemma":[0.9758524,0.0000175202,0.02335348,0.000009650834,0.000175961,0.00007188698,0.000001899246,0.0000322769,0.0004849073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9719732,"threshold_uncertainty_score":0.3032306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440545674578163,"score_gpt":0.229548214856665,"score_spread":0.2151427581108833,"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."}}