{"id":"W2237415205","doi":"10.1145/2830772.2830790","title":"Doppelgänger","year":2015,"lang":"de","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cache; Computer science; Parallel computing; Redundancy (engineering); Cache algorithms; Leverage (statistics); CPU cache; Locality; Exploit; Data deduplication; Cache-oblivious algorithm; Smart Cache; Cache coloring; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000566968,0.0001662574,0.0001714168,0.0001121977,0.00007647766,0.000351005,0.0008491974,0.0001064734,0.00006439372],"category_scores_gemma":[0.00008379851,0.0001509474,0.00006212112,0.0004448335,0.00005116241,0.00028255,0.0004346193,0.0001417568,0.00328631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005472912,"about_ca_system_score_gemma":0.0002284573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004418339,"about_ca_topic_score_gemma":8.866174e-7,"domain_scores_codex":[0.998574,0.000113164,0.0002575202,0.0003876464,0.0003457344,0.0003219273],"domain_scores_gemma":[0.998661,0.00003875336,0.0000851808,0.0006253694,0.0002715126,0.0003182309],"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":[0.000007003762,0.0001186271,0.0003741565,0.000007744382,0.00003337158,0.00002675429,0.001157587,0.005792753,0.000004806193,0.08967388,0.8754507,0.02735264],"study_design_scores_gemma":[0.0003104977,0.0001406857,0.00004975844,0.00002168272,0.00001003447,0.000007761189,0.00001853789,0.6306188,0.0006231944,0.005687401,0.3622163,0.0002953475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007746627,0.00242009,0.8927134,0.00247988,0.001796031,0.00009870633,6.316903e-7,0.0009057203,0.09950805],"genre_scores_gemma":[0.1372098,0.0002133204,0.8295115,0.00303254,0.0008736837,0.000006612097,0.000006295665,0.00002421967,0.02912203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.624826,"threshold_uncertainty_score":0.9974898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483317468511535,"score_gpt":0.2846526200542421,"score_spread":0.2363208732030886,"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."}}