{"id":"W4245783794","doi":"10.1145/1961296.1950391","title":"Flikker","year":2011,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Dram; Embedded system; Correctness; Energy consumption; Software; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001516498,0.00008568075,0.00008578247,0.00006887743,0.0000808434,0.00006886499,0.001429838,0.00004245745,0.00004802425],"category_scores_gemma":[0.00008956739,0.00007433014,0.00002888933,0.0001694191,0.00002390818,0.000313304,0.0003180762,0.00006903036,0.0001722091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006546,"about_ca_system_score_gemma":0.0000173989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004742466,"about_ca_topic_score_gemma":0.00000363361,"domain_scores_codex":[0.9993258,0.00003535829,0.0001254397,0.0002213459,0.0001199272,0.0001721235],"domain_scores_gemma":[0.9990692,0.00007854024,0.00006629476,0.0006868664,0.00004271709,0.00005634948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005547546,0.0007106618,0.04403261,0.00009406472,0.0001687929,0.0002585378,0.02659952,0.002018025,0.0008209073,0.6213903,0.09462969,0.2092214],"study_design_scores_gemma":[0.001714896,0.001167899,0.1066296,0.0002000925,0.00006708239,0.0001181325,0.0002244303,0.5536787,0.08609016,0.1530542,0.09395666,0.003098173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01235043,0.0001178778,0.9142653,0.0003317168,0.0003212281,0.00008748715,8.509844e-7,0.001272257,0.07125284],"genre_scores_gemma":[0.5552609,0.000005845943,0.4440716,0.0003561925,0.00002900605,0.000003007688,0.000001068486,0.000004098079,0.0002682906],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5516607,"threshold_uncertainty_score":0.3031095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171605834278985,"score_gpt":0.2596344905854311,"score_spread":0.2079184322426413,"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."}}