{"id":"W2028429372","doi":"10.1145/1183401.1183409","title":"BranchTap","year":2006,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speculation; Computer science; FIFO (computing and electronics); Instruction prefetch; Storage management; Preemption; Degradation (telecommunications); Key (lock); FIFO and LIFO accounting; Speculative execution; Parallel computing; Embedded system; Distributed computing; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004807354,0.0005887282,0.0003865426,0.0004974327,0.0004382158,0.000838991,0.001522271,0.0004578062,0.01147764],"category_scores_gemma":[0.001685507,0.000334111,0.0002605176,0.0006499744,0.0003413012,0.001491309,0.001149616,0.0009071329,0.002908012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004210642,"about_ca_system_score_gemma":0.0008612272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076327,"about_ca_topic_score_gemma":0.002104545,"domain_scores_codex":[0.9996186,0.00006036936,0.00002640813,0.00008976191,0.0001280459,0.0000766543],"domain_scores_gemma":[0.9986418,0.0003253018,0.000154957,0.0005047321,0.0002799595,0.00009320834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003273953,0.0002967496,0.01094787,0.0007690357,0.0001221171,0.0004502739,0.0004117545,0.03543707,0.08428968,0.03739202,0.05491159,0.7716979],"study_design_scores_gemma":[0.0005306514,0.001959546,0.008380808,0.0001248189,0.0002312608,0.0009891179,0.0001808653,0.5584969,0.1625597,0.04555565,0.2208184,0.0001723469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.279544,0.007674241,0.5828959,0.001973717,0.0007599977,0.0005948514,0.002726296,0.06773806,0.05609292],"genre_scores_gemma":[0.7951567,0.001769122,0.1610474,0.0006335875,0.0001984979,0.0003906946,0.003540462,0.001802468,0.03546109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01147764,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007570822388296432,"score_gpt":0.2239748011051881,"score_spread":0.2164039787168917,"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."}}