{"id":"W3034251599","doi":"","title":"Distributed Online Optimization over a Heterogeneous Network","year":2020,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Distributed computing","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":[0.002844603,0.0009876047,0.001957959,0.0006149553,0.001052235,0.001800708,0.002303796,0.001628747,0.003019643],"category_scores_gemma":[0.005540041,0.0008436024,0.0007339994,0.001175475,0.001154923,0.00237293,0.002427875,0.001400875,0.0002922932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546847,"about_ca_system_score_gemma":0.001214422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00437888,"about_ca_topic_score_gemma":0.00442389,"domain_scores_codex":[0.9985655,0.0005816506,0.00006347024,0.0003658759,0.0002100166,0.0002135187],"domain_scores_gemma":[0.9963147,0.002600166,0.0002441347,0.0003411754,0.000283433,0.0002163478],"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":[0.0001834406,0.00009365175,0.0003039512,0.00002402086,0.00004127515,0.00007055983,0.000019831,0.9793649,0.0008044096,0.00495968,0.0006631745,0.01347112],"study_design_scores_gemma":[0.000008284829,0.000009273331,0.00002532913,5.403598e-7,0.000002783356,0.000003056947,0.000003249607,0.9984121,0.00006136092,0.001436075,0.00003705118,8.65945e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08912105,0.0004676605,0.9052157,0.0009059981,0.0001247217,0.00008062233,0.00008190687,0.0002893172,0.003712932],"genre_scores_gemma":[0.9273905,0.000183132,0.06751747,0.0001543492,0.0001213017,0.0001213552,0.0001204774,0.00008285624,0.004308548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00437888,"threshold_uncertainty_score":0.01504385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083301284650621,"score_gpt":0.2678878321536259,"score_spread":0.2370548193071197,"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."}}