{"id":"W2289181119","doi":"10.1109/cdc.2015.7402315","title":"Continuous-time distributed convex optimization on time-varying directed networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bounded function; Ergodic theory; Mathematics; Sequence (biology); Exponential growth; Convex optimization; Exponential stability; Directed graph; Differentiable function; Regular polygon; Applied mathematics; Nonlinear system; Discrete mathematics; Mathematical analysis","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":[],"category_scores_codex":[0.0005904508,0.0003168544,0.0004784169,0.000112709,0.0001303015,0.0004688628,0.0009975224,0.0001787817,0.000140091],"category_scores_gemma":[0.0002973478,0.0002866881,0.0001010044,0.0007104119,0.00004264522,0.0005927204,0.0002149075,0.0001834568,0.001239347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070819,"about_ca_system_score_gemma":0.00009776263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005701786,"about_ca_topic_score_gemma":9.491604e-7,"domain_scores_codex":[0.9974218,0.0002884733,0.0005144771,0.0006468524,0.0005427576,0.000585645],"domain_scores_gemma":[0.9978304,0.0002314764,0.0002484472,0.0008591934,0.0004395763,0.0003909346],"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":[0.00006961097,0.0002201778,0.0003640937,0.000005223861,0.0001135243,0.0000469094,0.0001045584,0.9246778,0.0003102993,0.002651438,0.06833792,0.003098367],"study_design_scores_gemma":[0.001780586,0.0001190748,0.0001320287,0.00003749592,0.00001487499,0.00001134851,0.000008060739,0.9938943,0.000200353,0.00003554498,0.003417794,0.0003484974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004590274,0.00006702064,0.9818555,0.0006887721,0.0006493788,0.0005578775,0.00003728091,0.002029262,0.01365591],"genre_scores_gemma":[0.9610558,0.000005010288,0.02919403,0.0009508344,0.0003976222,0.00009832792,0.001194177,0.00006428925,0.007039878],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9605968,"threshold_uncertainty_score":0.9999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439741750483099,"score_gpt":0.2192014027471336,"score_spread":0.2048039852423026,"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."}}