{"id":"W1839073209","doi":"10.1007/978-3-642-33509-9_32","title":"Consensus Algorithms in a Multi-agent Framework to Solve PTZ Camera Reconfiguration in UAVs","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Control reconfiguration; Zoom; Scalability; Artificial intelligence; Computer vision; Tracking (education); Real-time computing; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005887541,0.0007323166,0.001112203,0.0003678984,0.0007376032,0.0008320422,0.001158864,0.001195702,0.001496187],"category_scores_gemma":[0.001432454,0.0005031176,0.0006457739,0.0005121492,0.0006438166,0.0008882107,0.001104723,0.001290734,0.0002306668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000568211,"about_ca_system_score_gemma":0.0007741912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006718787,"about_ca_topic_score_gemma":0.005063341,"domain_scores_codex":[0.9997386,0.00007626265,0.00001746938,0.000067166,0.00005912119,0.00004124283],"domain_scores_gemma":[0.9994897,0.0002654787,0.00006563582,0.00003477461,0.0001089378,0.00003555075],"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":[0.00003506966,0.00001718745,0.0001164244,0.00004125163,0.00001887805,0.0000498475,0.00005341739,0.9759296,0.001414903,0.004756536,0.0004587975,0.01710805],"study_design_scores_gemma":[0.000008002423,0.0000152725,0.00002652937,0.000002241882,0.000003132267,0.000006434354,0.000009423944,0.9978539,0.0002543762,0.001642403,0.0001754971,0.000002689987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01522409,0.0002158785,0.9822139,0.0001238227,0.00004892438,0.00003677215,0.00001353755,0.000194588,0.001928452],"genre_scores_gemma":[0.7689673,0.0002657516,0.2265031,0.00006808599,0.00004551606,0.000193412,0.00007110739,0.00007640424,0.003809246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006718787,"threshold_uncertainty_score":0.01335937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383510661276853,"score_gpt":0.3099528432890046,"score_spread":0.2716017771613193,"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."}}