{"id":"W3193529446","doi":"10.1109/jsait.2021.3104970","title":"Coded Sequential Matrix Multiplication for Straggler Mitigation","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Information Theory","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Notation; Mathematics; Computer science; Arithmetic","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":[0.0004580864,0.001115209,0.0006479754,0.0005187622,0.000857906,0.001050406,0.001643572,0.0009166027,0.02333341],"category_scores_gemma":[0.001998802,0.0003109121,0.0004726217,0.0005240543,0.0006701324,0.001544692,0.001722984,0.001176224,0.005626932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009696863,"about_ca_system_score_gemma":0.001767443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004342019,"about_ca_topic_score_gemma":0.008512643,"domain_scores_codex":[0.9994197,0.0001095675,0.00002575284,0.0001094132,0.0002410505,0.00009462142],"domain_scores_gemma":[0.99932,0.0002438213,0.00004763182,0.0001573543,0.0001836215,0.00004759718],"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":[0.0009868032,0.0002686495,0.001255904,0.0007073495,0.0001290325,0.0007587439,0.0003797902,0.4010805,0.04440544,0.1298768,0.03538682,0.3847641],"study_design_scores_gemma":[0.00007124143,0.0001772292,0.0001800617,0.00004605205,0.00002346501,0.0002414934,0.00007664527,0.9049437,0.02158895,0.04848152,0.02413116,0.0000384842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01375048,0.0004500254,0.9632367,0.0003696317,0.0002670681,0.0001423794,0.0002067925,0.005644465,0.01593235],"genre_scores_gemma":[0.3452819,0.0003367143,0.6199386,0.0004932717,0.0001183108,0.0003229995,0.0006059933,0.001023296,0.03187899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02333341,"threshold_uncertainty_score":0.078058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218792357470338,"score_gpt":0.2947377955343279,"score_spread":0.2725498719596245,"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."}}