{"id":"W4245861455","doi":"10.1109/isca.2016.54","title":"The Anytime Automaton","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Automaton; Pipeline (software); Computation; Theoretical computer science; Distributed computing; Simple (philosophy); Cellular automaton; State (computer science); Computer engineering; Algorithm; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0001798225,0.00003810981,0.00003071425,0.00001643215,0.0001417541,0.0000866729,0.0005843752,0.00001546605,0.000009133431],"category_scores_gemma":[0.00002758791,0.00001526148,0.00001912316,0.00009417289,0.00002321005,0.000129637,0.0001277461,0.00001560785,0.0001318529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009622737,"about_ca_system_score_gemma":0.00001682591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002151419,"about_ca_topic_score_gemma":5.292657e-7,"domain_scores_codex":[0.9995962,0.0000252088,0.00007432011,0.0001076988,0.00008241153,0.0001141144],"domain_scores_gemma":[0.999463,0.0001248377,0.00002328065,0.0003317317,0.00003130479,0.00002586149],"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":[6.285179e-7,0.000007260281,0.0001367682,3.482716e-7,0.000003362501,9.615854e-7,0.00002822825,0.00002049503,0.0002865489,0.6458065,0.06044945,0.2932594],"study_design_scores_gemma":[0.0003623341,0.00008875819,0.002489818,0.00002774853,0.00000136219,0.00002631756,0.000003348369,0.4908271,0.03831024,0.0737424,0.3937976,0.0003229389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002041352,0.00002712593,0.9647754,0.006322043,0.00007942929,0.00003009515,4.98414e-8,0.001122523,0.02743922],"genre_scores_gemma":[0.5778259,0.00007471634,0.3985331,0.0006903938,0.0000413333,0.00000899715,7.144081e-8,0.000005536514,0.02281995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5776218,"threshold_uncertainty_score":0.1694747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008701545720614635,"score_gpt":0.235426318716657,"score_spread":0.2267247729960424,"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."}}