{"id":"W4246161270","doi":"10.1109/.2005.1507491","title":"Rational aggressive behaviour reduces interference in a mobile robot team","year":2005,"lang":"en","type":"article","venue":"ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.","topic":"Mental Health Research Topics","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robot; Task (project management); Aggression; Mobile robot; Computer science; Interference (communication); Human–computer interaction; Competition (biology); Scheme (mathematics); Control (management); Artificial intelligence; Simulation; Engineering; Psychology; Computer network; Channel (broadcasting); Social psychology; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005136386,0.0004861476,0.0004835239,0.0005966981,0.0001772861,0.0001919752,0.001180673,0.0002826702,0.005499208],"category_scores_gemma":[0.0003620277,0.000489136,0.0001195599,0.0002664638,0.0002891879,0.0007201894,0.0002506086,0.001215119,0.0008112317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009833387,"about_ca_system_score_gemma":0.0002834494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004668011,"about_ca_topic_score_gemma":0.0002080176,"domain_scores_codex":[0.9957762,0.00006587834,0.001020335,0.001097786,0.001010948,0.001028835],"domain_scores_gemma":[0.9976847,0.0001048014,0.0006680729,0.0002976699,0.000823306,0.0004214038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004144248,0.006851688,0.02739463,0.0002121289,0.0004063161,0.0003086927,0.009200746,0.02229396,0.01554157,0.6457198,0.04347604,0.2244502],"study_design_scores_gemma":[0.05969442,0.02212229,0.1983294,0.01734304,0.0003717447,0.002213101,0.07209863,0.2491722,0.108954,0.04542928,0.2087894,0.01548245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6356259,0.001491949,0.004139412,0.02806151,0.01027906,0.005884226,0.0004886808,0.0007067616,0.3133225],"genre_scores_gemma":[0.9710756,0.0003407805,0.01149604,0.0008956177,0.0007692644,0.0006775769,0.000115161,0.00006158408,0.0145684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6002905,"threshold_uncertainty_score":0.9999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07222827402253691,"score_gpt":0.4169645138051927,"score_spread":0.3447362397826558,"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."}}