{"id":"W1971694274","doi":"10.1016/j.jcss.2009.07.002","title":"Communication algorithms with advice","year":2009,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Agence Nationale de la Recherche","keywords":"Advice (programming); Computer science; Dissemination; Node (physics); Broadcasting (networking); Computer network; Algorithm; Theoretical computer science; Telecommunications","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":[0.002224248,0.001200852,0.00150619,0.001558044,0.002315785,0.002747957,0.002161748,0.002666919,0.02660314],"category_scores_gemma":[0.02517992,0.0006952368,0.00100443,0.001669275,0.001858329,0.003865824,0.003153367,0.003949926,0.007722837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387778,"about_ca_system_score_gemma":0.002485543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723945,"about_ca_topic_score_gemma":0.003085434,"domain_scores_codex":[0.9967018,0.001109332,0.0001784842,0.0005380528,0.0009760018,0.0004964557],"domain_scores_gemma":[0.987039,0.00710016,0.00029961,0.003756566,0.001424658,0.0003799262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001027692,0.0003745724,0.001387192,0.0003230365,0.0001020081,0.0001629142,0.0004694334,0.04238336,0.002557349,0.4148651,0.09020157,0.4461457],"study_design_scores_gemma":[0.0002630863,0.0001050295,0.0002341663,0.00007887794,0.00007828778,0.0001597585,0.00007015984,0.327407,0.004368643,0.638171,0.02903296,0.00003105703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0299452,0.001176545,0.8566803,0.005367769,0.001313817,0.0002626919,0.0004752329,0.01036657,0.09441203],"genre_scores_gemma":[0.4951814,0.0006647978,0.404964,0.001853478,0.001110663,0.0005745998,0.0008625502,0.002024523,0.09276386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02660314,"threshold_uncertainty_score":0.08899635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017505653996277,"score_gpt":0.266724927676379,"score_spread":0.249219273680102,"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."}}