{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001424151,0.00008132127,0.00006401497,0.00005239183,0.00002876073,0.0003046801,0.0004473771,0.00003217937,0.000113132],"category_scores_gemma":[0.00001400406,0.00005748642,0.00001844693,0.000282657,0.00002203926,0.0007153064,0.0001617349,0.00007570309,0.0002447544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266864,"about_ca_system_score_gemma":0.00004479709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001018628,"about_ca_topic_score_gemma":0.000002667104,"domain_scores_codex":[0.9992748,0.00001246048,0.00008557894,0.0003106491,0.0001850383,0.0001315023],"domain_scores_gemma":[0.9993882,0.00006886116,0.000005400837,0.0004729132,0.00002131659,0.00004326394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006075903,0.00004982507,0.0003778594,0.00003205098,0.0000554635,0.000154164,0.0003250818,0.00002917267,0.003527151,0.01362919,0.5069739,0.4748401],"study_design_scores_gemma":[0.00005276492,0.000374935,0.001177177,0.0001410611,0.0000134298,0.0001575588,0.000004556023,0.9186015,0.01947355,0.002392898,0.0573909,0.0002196313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001008339,0.00003550024,0.9244151,0.0005968804,0.0001330662,0.00009763147,0.00001777415,0.004328323,0.06936739],"genre_scores_gemma":[0.1109147,0.000007302682,0.8842796,0.0001351336,0.00007654366,0.0000235424,0.000014473,0.00001219366,0.00453654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9185724,"threshold_uncertainty_score":0.3145904,"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."}}