{"id":"W3169775723","doi":"10.1109/lcsys.2021.3089136","title":"Spectral Properties of the Normalized Rigidity Matrix for Triangular Formations","year":2021,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rigidity (electromagnetism); Singular value; Mathematics; Infinitesimal; Matrix (chemical analysis); Mathematical analysis; Transformation matrix; Pure mathematics; Classical mechanics; Physics; Kinematics; Eigenvalues and eigenvectors","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007681694,0.0002441592,0.0006091368,0.00007997061,0.0002494266,0.0003235145,0.00118372,0.00009199059,0.00000177812],"category_scores_gemma":[0.0001944727,0.000172893,0.0004723108,0.0003753619,0.00006980837,0.0005752816,0.00005943698,0.0001336384,0.00001755605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483933,"about_ca_system_score_gemma":0.0001861259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166157,"about_ca_topic_score_gemma":0.00002757511,"domain_scores_codex":[0.9971911,0.0005170361,0.0008881204,0.0003741579,0.0005283934,0.0005011874],"domain_scores_gemma":[0.9977083,0.0001768753,0.0005387122,0.001127674,0.000355763,0.00009267189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007554559,0.00009539946,0.00038894,0.0004161121,0.0003825267,0.00001383673,0.0005454699,0.01729708,0.9591686,0.01240187,0.009098032,0.00011661],"study_design_scores_gemma":[0.02405114,0.0001043365,0.001411166,0.0007064088,0.0003351331,0.0002369351,0.0003360773,0.7980806,0.1418229,0.0001199217,0.03178601,0.001009464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1209319,0.0009634361,0.8638507,0.006389781,0.004966262,0.002465569,0.0001930767,0.0001587505,0.00008056615],"genre_scores_gemma":[0.9979335,0.000001686165,0.0004135515,0.000572186,0.0003533712,0.0004485313,0.000006139665,0.0000172518,0.0002537686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8770016,"threshold_uncertainty_score":0.7050373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996165510481244,"score_gpt":0.2277162506771586,"score_spread":0.2077545955723462,"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."}}