{"id":"W1491778474","doi":"10.1002/9780470747759.ch4","title":"AIMD Congestion Control","year":2009,"lang":"en","type":"other","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Network congestion; Control (management); Business; Computer science; Computer network; Artificial intelligence","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":[0.001875875,0.0009974403,0.0006788808,0.00127622,0.0009137026,0.0034581,0.002109798,0.0007152089,0.01348275],"category_scores_gemma":[0.004131268,0.0005173666,0.0004478897,0.0009727103,0.0004864777,0.002346576,0.001832997,0.001656297,0.004848832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376477,"about_ca_system_score_gemma":0.001182575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531394,"about_ca_topic_score_gemma":0.001705813,"domain_scores_codex":[0.9981571,0.0002459362,0.0001317097,0.0002208293,0.001069182,0.0001752211],"domain_scores_gemma":[0.9985453,0.0003248116,0.00007610453,0.0002828991,0.0007030015,0.00006796931],"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":[0.0005242709,0.0003459982,0.001488606,0.001014833,0.00009655235,0.0002417602,0.0002900901,0.03692199,0.02160218,0.1577917,0.09927557,0.6804065],"study_design_scores_gemma":[0.0001328055,0.0003737168,0.002099071,0.0004423562,0.0002202579,0.0008170463,0.0001738745,0.3891432,0.04316455,0.05770646,0.5055634,0.0001633035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0159403,0.01058098,0.723929,0.001977849,0.003526259,0.001344278,0.001345604,0.01166635,0.2296895],"genre_scores_gemma":[0.5247824,0.01296272,0.2837299,0.002157705,0.002419722,0.001694083,0.00406144,0.002063642,0.1661284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01348275,"threshold_uncertainty_score":0.04510427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00598692318000817,"score_gpt":0.2083297898471561,"score_spread":0.2023428666671479,"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."}}