{"id":"W4235983790","doi":"10.1145/1961295.1950391","title":"Flikker","year":2011,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Dram; Correctness; Embedded system; Software; Energy consumption; Operating system; Computer hardware; Programming language","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":[0.0007091028,0.0009602248,0.0005138845,0.0008601086,0.001024751,0.002045596,0.002214112,0.001324117,0.03454354],"category_scores_gemma":[0.003926108,0.0004633689,0.0006517855,0.0008696935,0.000862118,0.003545939,0.002014592,0.001867443,0.0142628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129641,"about_ca_system_score_gemma":0.001377502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885229,"about_ca_topic_score_gemma":0.003393921,"domain_scores_codex":[0.998737,0.0001244302,0.0000563405,0.0002743729,0.0006001143,0.0002077546],"domain_scores_gemma":[0.998316,0.0004522234,0.0001145764,0.0006203939,0.0004177603,0.00007899776],"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":[0.0005542491,0.0001673859,0.001697388,0.0008142767,0.00006765401,0.0005502722,0.0003888058,0.02392032,0.04706945,0.07525998,0.153442,0.6960682],"study_design_scores_gemma":[0.0001257451,0.0003507444,0.001673465,0.0001921989,0.0001102183,0.001918387,0.0001636994,0.1024059,0.1136371,0.05764744,0.7216091,0.0001660569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05597799,0.005943733,0.6197912,0.005018886,0.002255031,0.0003352457,0.001508867,0.0556962,0.2534729],"genre_scores_gemma":[0.4457736,0.003483727,0.2593982,0.004564683,0.0005254511,0.0003877732,0.002866602,0.009296973,0.273703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03454354,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941515349656414,"score_gpt":0.2491711004345014,"score_spread":0.2197559469379372,"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."}}