{"id":"W4206153069","doi":"10.1109/smc52423.2021.9658800","title":"Team Performance due to Agent Conflicts: E-CARGO Simulations","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Task (project management); Computer science; Knowledge management; Intelligent agent; Team effectiveness; Artificial intelligence; Engineering; Systems engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0002862932,0.0002727974,0.000333397,0.0002021627,0.0001811953,0.0007590887,0.0006251234,0.0001242044,0.0001990791],"category_scores_gemma":[0.0000639989,0.0002710555,0.00007050316,0.0002517701,0.00003376511,0.0003331513,0.0001811932,0.0001845233,0.0004203753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127888,"about_ca_system_score_gemma":0.0001428429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001774435,"about_ca_topic_score_gemma":0.0001121351,"domain_scores_codex":[0.9974414,0.000143891,0.0006147372,0.0006994905,0.0007922665,0.0003082732],"domain_scores_gemma":[0.9980544,0.0001170898,0.0002297002,0.0005701164,0.0008051767,0.0002234918],"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":[0.00008196563,0.0007828751,0.01075095,0.0004343418,0.0005894835,0.0002966122,0.00870607,0.03180319,0.02470729,0.8806273,0.01731484,0.02390511],"study_design_scores_gemma":[0.001060055,0.0002135226,0.0131836,0.0007008733,0.00002699242,0.0001565918,0.0004918245,0.8061802,0.004919323,0.0002731012,0.1720553,0.0007386606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268947,0.0004613241,0.1678482,0.00337778,0.01081849,0.001230887,0.000200113,0.0002050709,0.08896346],"genre_scores_gemma":[0.9832962,0.0001785439,0.0008113052,0.000520581,0.0004335492,0.00005126602,0.00005288028,0.00001785496,0.01463788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8803542,"threshold_uncertainty_score":0.9999742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06867375152085282,"score_gpt":0.2978529221664473,"score_spread":0.2291791706455945,"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."}}