{"id":"W2989242831","doi":"10.21629/jsee.2019.05.05","title":"MapReduce rationality verification based on object Petri net","year":2019,"lang":"en","type":"article","venue":"Journal of Systems Engineering and Electronics","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Executable; Petri net; Rationality; Object (grammar); Process (computing); Distributed computing; Irrational number; Data mining; Programming language; Artificial intelligence","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":[0.0004712043,0.0000732514,0.0001267492,0.00009884372,0.0000332774,0.0001260774,0.0002302735,0.00003311634,9.26857e-7],"category_scores_gemma":[0.00002656057,0.00006455452,0.0000305457,0.0001792884,0.000003618062,0.000198728,0.00001222338,0.0001619467,0.000005842689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007231339,"about_ca_system_score_gemma":0.0001067106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003760137,"about_ca_topic_score_gemma":9.054039e-8,"domain_scores_codex":[0.9993091,0.00001741777,0.0002285433,0.0001169189,0.0001980516,0.0001299383],"domain_scores_gemma":[0.9994202,0.00007823178,0.0001398005,0.000226723,0.00008145094,0.00005360527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002370695,0.0001662329,0.0004505982,0.0002361766,0.00008831814,0.000005520591,0.0002582475,0.8259689,0.0219797,0.1310751,0.002532514,0.01721502],"study_design_scores_gemma":[0.0002124209,0.0001802193,0.001212967,0.00006370201,0.000004657376,0.0000529782,0.000008242159,0.9774233,0.0004619254,0.00002407356,0.02027689,0.00007866915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1366506,0.001542098,0.8601842,0.0005205725,0.0006911791,0.000150672,0.000006052241,0.00005360532,0.0002010474],"genre_scores_gemma":[0.9905479,0.0000502818,0.009173613,0.00002326081,0.0001129879,0.000004156272,0.000003689958,0.000006213032,0.0000779136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8538973,"threshold_uncertainty_score":0.2632457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006068135918949697,"score_gpt":0.2031730358041346,"score_spread":0.1971048998851849,"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."}}