{"id":"W2149698371","doi":"10.5555/776261.776291","title":"Dynamic profiling and trace cache generation","year":2003,"lang":"en","type":"article","venue":"Symposium on Code Generation and Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Profiling (computer programming); Java; Cache; TRACE (psycholinguistics); Call graph; Parallel computing; Distributed computing; Operating system","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":[0.0003926997,0.0001786408,0.0001348069,0.0001599561,0.0003894847,0.0003865646,0.0001124792,0.0001146353,0.000005614234],"category_scores_gemma":[0.0000514608,0.0001783029,0.00002300963,0.0002424345,0.0000298014,0.0004314746,0.00003274449,0.00009926574,0.00000246153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004424373,"about_ca_system_score_gemma":0.00005059164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002150379,"about_ca_topic_score_gemma":0.000006254112,"domain_scores_codex":[0.9986768,0.0001953166,0.0002700184,0.0005023308,0.0001823278,0.0001732471],"domain_scores_gemma":[0.9993725,0.00002803021,0.0001175249,0.0002601374,0.0001337606,0.00008807802],"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":[0.000002284706,0.00003036555,0.00004405274,0.000007046245,0.000005384017,6.94729e-7,0.0002105588,0.9470446,0.0112808,0.03948165,0.0002456282,0.001646949],"study_design_scores_gemma":[0.0003043727,0.00009429831,0.00001212382,0.000008032342,0.000006609002,0.00001638488,0.000008538022,0.9780464,0.02075529,0.0001146968,0.0004311592,0.0002021464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005776866,0.0002860446,0.9908627,0.0009813632,0.000257875,0.0002888135,0.000002250156,0.0002864808,0.001257568],"genre_scores_gemma":[0.3228364,0.0006960333,0.6754144,0.0005003968,0.00005615312,0.00003082764,0.00006000282,0.00001682076,0.0003890288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3170595,"threshold_uncertainty_score":0.7270983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063276269422019,"score_gpt":0.2551050567654122,"score_spread":0.2344722940711921,"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."}}