{"id":"W2517678212","doi":"10.1145/3007787.3001195","title":"The anytime automaton","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Automaton; Pipeline (software); Computation; Theoretical computer science; Simple (philosophy); Distributed computing; Cellular automaton; State (computer science); Algorithm; Computer engineering; 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":[0.0005067427,0.0002822516,0.0002253258,0.0001548673,0.0005310405,0.0003719827,0.004442761,0.00008959561,0.000008054586],"category_scores_gemma":[0.0002015556,0.0001424738,0.0001502088,0.0004331117,0.0001627571,0.0002174083,0.001979987,0.0002494578,0.000112343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005218971,"about_ca_system_score_gemma":0.0001049676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001560449,"about_ca_topic_score_gemma":0.00001220847,"domain_scores_codex":[0.9975671,0.0003079104,0.0003739932,0.0006440834,0.0004670823,0.0006398209],"domain_scores_gemma":[0.9957135,0.00157189,0.0001384173,0.002271226,0.000119417,0.0001855144],"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":[0.000007076049,0.0000233535,0.0002257724,0.000003659394,0.00002418203,0.00001144861,0.0003139858,0.0008581317,0.0003985916,0.01077228,0.0267162,0.9606453],"study_design_scores_gemma":[0.001437712,0.0006313636,0.004586853,0.0001964148,0.00001081965,0.0002990783,0.000003695445,0.1706287,0.00754812,0.1832298,0.6303939,0.001033545],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001593173,0.000132101,0.9684486,0.02621641,0.0005053965,0.0002640614,0.000001375084,0.001712728,0.001126197],"genre_scores_gemma":[0.1132658,0.0001033093,0.8827731,0.002372088,0.0005788373,0.00004223354,0.000001655164,0.00003405405,0.0008288813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9596118,"threshold_uncertainty_score":0.8255829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008672909762124,"score_gpt":0.2448873781263465,"score_spread":0.2348006490287253,"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."}}