{"id":"W2156088178","doi":"10.1002/cpe.885","title":"Concurrent urban legends","year":2005,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Concurrency; Mutual exclusion; Computer science; Spurious relationship; Construct (python library); Inheritance (genetic algorithm); Concurrent object-oriented programming; Field (mathematics); Programming language; Mathematics; Programming paradigm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327086,0.0006373898,0.0003486498,0.0009872463,0.00556383,0.006940639,0.001609246,0.001402428,0.03301647],"category_scores_gemma":[0.006240395,0.0003730939,0.0004842061,0.001460255,0.007177775,0.007240095,0.00434752,0.003428537,0.003688433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003791688,"about_ca_system_score_gemma":0.001610182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008197542,"about_ca_topic_score_gemma":0.01071196,"domain_scores_codex":[0.9986802,0.0003914346,0.00004818067,0.0002610158,0.0003731134,0.0002459998],"domain_scores_gemma":[0.9979091,0.0007644753,0.0002122452,0.0004162675,0.000498428,0.0001995529],"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":[0.00001805375,0.000004250617,0.00008484338,0.00002462558,0.000001552096,0.00007811169,0.001323993,0.0003280722,0.0001190914,0.9735836,0.01846197,0.005971727],"study_design_scores_gemma":[0.00001026833,0.00001556,0.0001433098,0.00005985481,0.00000592998,0.0003595612,0.001887569,0.001350871,0.0005117748,0.1384122,0.8572223,0.00002087381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01950744,0.003398141,0.07454813,0.02640616,0.006539905,0.00007664068,0.0002952665,0.001303751,0.8679246],"genre_scores_gemma":[0.6301583,0.00440599,0.02436514,0.007201538,0.002753446,0.0002276305,0.0004722868,0.001325567,0.3290901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03301647,"threshold_uncertainty_score":0.1104511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190333245019963,"score_gpt":0.3213689313519091,"score_spread":0.2994655989017095,"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."}}