{"id":"W6989741960","doi":"","title":"Cache line reservation: exploring a scheme for cache-friendly object allocation","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cache; Cache algorithms; Cache invalidation; Scheme (mathematics); Cache coloring; Overhead (engineering); Reservation; Cache pollution; Object (grammar)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001798699,0.0008806793,0.0008088791,0.0007605753,0.001574818,0.0003997597,0.002304039,0.0007990279,0.00001380331],"category_scores_gemma":[0.001363239,0.00100022,0.0004321062,0.001466045,0.00003223,0.002377054,0.0002385875,0.001205963,0.00005089053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000710298,"about_ca_system_score_gemma":0.0001941463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520756,"about_ca_topic_score_gemma":0.0003045524,"domain_scores_codex":[0.9947165,0.0003258277,0.001297216,0.001755789,0.0009984726,0.0009062004],"domain_scores_gemma":[0.995305,0.0003417193,0.0009692983,0.001611734,0.001458464,0.0003137708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003670928,0.0007017581,0.00002645181,0.0007972199,0.0003553733,0.00004609225,0.0001343935,0.005399582,0.01810918,0.4170951,0.0003948085,0.556573],"study_design_scores_gemma":[0.004547383,0.002671882,0.00132595,0.002817416,0.0003675779,0.00007954246,0.0003709859,0.1375048,0.4704386,0.1214691,0.2515164,0.006890324],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7225134,0.003860797,0.08228015,0.001505942,0.011284,0.01259812,0.001014683,0.01895372,0.1459891],"genre_scores_gemma":[0.4720662,0.0005824711,0.5109696,0.0007400359,0.0003440002,0.001552066,0.002946344,0.0002804785,0.01051878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5496827,"threshold_uncertainty_score":0.999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05401923604615144,"score_gpt":0.2870341486077637,"score_spread":0.2330149125616123,"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."}}