{"id":"W2049763834","doi":"10.1080/17445760.2011.613834","title":"Computing with uncertainty and its implications to universality","year":2012,"lang":"en","type":"article","venue":"International Journal of Parallel Emergent and Distributed Systems","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computation; Turing machine; Universality (dynamical systems); Executable; Theoretical computer science; Focus (optics); Model of computation; Theory of computation; Computational problem; Mathematical optimization; Algorithm; Mathematics; 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":[0.0005777788,0.0001302104,0.0002105129,0.0001179883,0.00009216029,0.0001405508,0.0005479354,0.00003698709,0.000005133145],"category_scores_gemma":[0.00006507059,0.0001016305,0.00004710046,0.0002015157,0.00002668765,0.0004513157,0.0002671837,0.0001096501,0.000003287414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248993,"about_ca_system_score_gemma":0.00005979139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006700328,"about_ca_topic_score_gemma":0.000007666057,"domain_scores_codex":[0.9986662,0.00009690055,0.0004419381,0.0001798772,0.000396641,0.0002184827],"domain_scores_gemma":[0.9983647,0.0001051553,0.0003051908,0.0001434469,0.0007569761,0.0003245636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003040547,0.0009860807,0.3894698,0.0001040667,0.0012245,0.00007915077,0.004954081,0.2700584,0.001056369,0.3102426,0.006411341,0.01510956],"study_design_scores_gemma":[0.002938968,0.0005727216,0.5626971,0.0002407814,0.00008448694,0.002111274,0.001336733,0.3914669,0.00005791355,0.00143387,0.03624612,0.0008131429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2703806,0.0006714793,0.7254516,0.002319218,0.0009108335,0.0001384641,0.00003774143,0.00002150915,0.00006849685],"genre_scores_gemma":[0.9952567,0.00003574366,0.004322059,0.00005441798,0.0002975165,0.000002265758,0.00001113623,0.000004099558,0.00001608801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.724876,"threshold_uncertainty_score":0.4144373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883385702395003,"score_gpt":0.2898491929551212,"score_spread":0.2610153359311712,"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."}}