{"id":"W4401414322","doi":"10.1109/icra57147.2024.10610771","title":"Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling","year":2024,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Scaling; Enhanced Data Rates for GSM Evolution; Computer science; Phase (matter); Scale (ratio); Robot; Artificial intelligence; Mathematics; Physics; Geometry","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":[0.0008154121,0.0002480257,0.0002614294,0.00009259056,0.0001166973,0.0002356998,0.0003302362,0.00008864546,0.0000367416],"category_scores_gemma":[0.00006401811,0.000161718,0.0001031126,0.0002955625,0.00002422192,0.0002100062,0.00003650877,0.0002728547,0.0001290125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807407,"about_ca_system_score_gemma":0.00002319652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003577727,"about_ca_topic_score_gemma":0.00002347459,"domain_scores_codex":[0.9984958,0.00003652545,0.0004324907,0.0003565516,0.0002331508,0.0004454394],"domain_scores_gemma":[0.998798,0.0006247426,0.00002362862,0.0004304627,0.00004708346,0.00007614508],"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":[0.00003028776,0.00005884431,0.0001559167,0.003912997,0.00004550347,0.00002519196,0.00219605,0.9771585,0.002560293,0.006154275,0.0006678026,0.007034367],"study_design_scores_gemma":[0.0002707188,0.00004374967,0.00006284816,0.004590445,0.0000151608,0.00001423872,0.001675038,0.9865611,0.004515087,0.000003564224,0.002021423,0.0002265884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2812062,0.0218788,0.6899524,0.0005133793,0.002797018,0.001939931,0.00003023231,0.0009888381,0.0006932597],"genre_scores_gemma":[0.9969663,0.0003792646,0.001392119,0.00003423303,0.0002213805,0.0002135107,0.000001668167,0.00005839901,0.0007331303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7157601,"threshold_uncertainty_score":0.6594667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06318480352772174,"score_gpt":0.3244806019597435,"score_spread":0.2612957984320218,"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."}}