{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002848543,0.0003089638,0.0002835851,0.0003070014,0.0001951887,0.0001537233,0.003675511,0.0001116198,0.00004231005],"category_scores_gemma":[0.00006790724,0.0002646906,0.0001569299,0.0005503066,0.00008671464,0.0002480714,0.001898212,0.0004201344,0.0001149966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000285933,"about_ca_system_score_gemma":0.00007492667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007832576,"about_ca_topic_score_gemma":0.00001198383,"domain_scores_codex":[0.9977669,0.0002007846,0.0003614665,0.0007353569,0.0003738239,0.0005617193],"domain_scores_gemma":[0.9973466,0.0001984467,0.0001160361,0.001997488,0.0001152494,0.000226119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002278915,0.000221079,0.001712501,0.00002529191,0.00007465798,0.0001009083,0.008871339,0.003421428,0.0002126144,0.02943637,0.02451298,0.931388],"study_design_scores_gemma":[0.002318255,0.001948572,0.02072398,0.0002075881,0.00003695072,0.0007293736,0.00002248197,0.4106651,0.01558938,0.3683646,0.1765895,0.002804184],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002109372,0.00007251567,0.9844633,0.001066405,0.0004839065,0.00025172,9.823252e-7,0.001645779,0.009905978],"genre_scores_gemma":[0.0969736,0.00001436472,0.8999299,0.002564465,0.0002858095,0.00002062033,0.00000387015,0.00002401693,0.0001834036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9285839,"threshold_uncertainty_score":0.9999805,"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."}}