{"id":"W4401538509","doi":"10.1109/infocomwkshps61880.2024.10620886","title":"Flow Size Prediction with Short Time Gaps","year":2024,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Flow (mathematics); Mechanics; Physics","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":[0.0008407756,0.00093724,0.0005298884,0.001159218,0.0002862836,0.0005509749,0.0007713072,0.0006577176,0.0005803223],"category_scores_gemma":[0.004991755,0.0002445977,0.0003347101,0.0008073147,0.0002749122,0.001217204,0.0003790001,0.001050872,0.0003689449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292213,"about_ca_system_score_gemma":0.000791851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008275134,"about_ca_topic_score_gemma":0.005859425,"domain_scores_codex":[0.9996248,0.00003598686,0.00002289616,0.0001354843,0.0001152165,0.00006549075],"domain_scores_gemma":[0.9973165,0.001244783,0.0004920427,0.0003245747,0.0004449869,0.0001769595],"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":[0.0006525828,0.0005680578,0.08478005,0.00007708596,0.00005503225,0.0001913868,0.0001161327,0.8048043,0.01239725,0.001256973,0.002460519,0.09264071],"study_design_scores_gemma":[0.000003668754,0.00002438424,0.00325917,0.000002966961,0.000002421242,0.0000141128,0.000008800999,0.993696,0.002402986,0.0004507981,0.0001306505,0.00000391416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808738,0.000263078,0.1846847,0.000238403,0.00007372988,0.00008006249,0.001278763,0.003474063,0.001169197],"genre_scores_gemma":[0.9775223,0.00008675195,0.0207684,0.00003297138,0.00002811657,0.0000457713,0.001100158,0.00003945687,0.0003762056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008275134,"threshold_uncertainty_score":0.01645392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007154701977278439,"score_gpt":0.2245953653592825,"score_spread":0.217440663382004,"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."}}