{"id":"W2163299222","doi":"10.1109/icma.2009.5246191","title":"Topological metrics for evaluating self-reconfigurable modules properties (flexibility)","year":2009,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Flexibility (engineering); Network topology; Computer science; Task (project management); Focus (optics); Robot; Transformation (genetics); Topology (electrical circuits); Distributed computing; Computer architecture; Computer engineering; Artificial intelligence; Engineering; Systems engineering; Mathematics; Computer network","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":[0.002631315,0.001203965,0.0006540194,0.007447505,0.0004550666,0.001359137,0.000627406,0.000801658,0.001275958],"category_scores_gemma":[0.01044486,0.0001949925,0.0006656012,0.003265841,0.001629077,0.002893598,0.001469654,0.0005039335,0.0002300301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008339441,"about_ca_system_score_gemma":0.0003118014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268665,"about_ca_topic_score_gemma":0.0003627517,"domain_scores_codex":[0.9973713,0.0007868909,0.0002808718,0.0002230811,0.001215495,0.0001223885],"domain_scores_gemma":[0.9934217,0.002821518,0.001516942,0.0007096594,0.001077243,0.000453022],"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":[0.0003708696,0.0001679271,0.02370656,0.0009559103,0.0004290125,0.0006329573,0.0006229482,0.2960354,0.05782937,0.3531087,0.00231649,0.2638238],"study_design_scores_gemma":[0.00004773692,0.00221685,0.03356903,0.0003683137,0.000254961,0.00224096,0.001034112,0.6521157,0.04664253,0.2442444,0.01695624,0.0003091352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2285841,0.002045671,0.7506707,0.0002384509,0.000120312,0.0001996817,0.0005011503,0.0004016811,0.0172382],"genre_scores_gemma":[0.8834594,0.0004933472,0.1143505,0.00003758682,0.00005706142,0.0002083791,0.000402093,0.00006806717,0.0009235668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007447505,"threshold_uncertainty_score":0.0139159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138646655995499,"score_gpt":0.3078853138796088,"score_spread":0.1940206482800589,"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."}}