{"id":"W7014184784","doi":"","title":"Optimization-based flow control in multipoint-to-point communication","year":2002,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Control system; Flow (mathematics); Control (management); Flow control (data)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009577678,0.0008141199,0.001175675,0.0009830414,0.001269431,0.001697886,0.001432591,0.0009311927,0.007443235],"category_scores_gemma":[0.002189715,0.0004458175,0.000388599,0.001087881,0.001036744,0.001142681,0.0009768184,0.0009370843,0.0008998729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301515,"about_ca_system_score_gemma":0.00294609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06671397,"about_ca_topic_score_gemma":0.0576895,"domain_scores_codex":[0.999217,0.0001780498,0.00002971649,0.0001158519,0.0003422063,0.0001171247],"domain_scores_gemma":[0.9990558,0.000406636,0.00005774309,0.00009830396,0.0003383949,0.000043165],"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":[0.0002229357,0.00008938905,0.0002834686,0.00004585138,0.0000155826,0.00003877834,0.00008066483,0.8165214,0.002690988,0.0248611,0.006678319,0.1484715],"study_design_scores_gemma":[0.00000945662,0.00001260482,0.00004927245,0.000003568198,0.000003168641,0.000004833443,0.000006308166,0.9943405,0.0008778237,0.0034754,0.001212923,0.00000407066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01282248,0.0003146345,0.9682082,0.0002310836,0.0001001102,0.0001061823,0.0000878073,0.001819799,0.01630964],"genre_scores_gemma":[0.6169586,0.0004365157,0.3322658,0.0001310952,0.0001100978,0.000225923,0.0002532607,0.0005663265,0.04905228],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06671397,"threshold_uncertainty_score":0.1326513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003018073206977342,"score_gpt":0.1414496103120063,"score_spread":0.138431537105029,"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."}}