{"id":"W77988331","doi":"10.1007/0-306-47015-2_20","title":"Parallel Processing of the Evolving Tree Transformation System","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Speedup; Computer science; Implementation; Parallel computing; Process (computing); Tree (set theory); Transformation (genetics); Software; Parallelism (grammar); Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003065565,0.0001946585,0.0002986327,0.0002626497,0.0003026082,0.0006252264,0.0005580168,0.0002664809,0.003217642],"category_scores_gemma":[0.001377241,0.0001235427,0.0002853827,0.0005230957,0.0003672284,0.0007514417,0.0005119311,0.0004900897,0.000613667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566766,"about_ca_system_score_gemma":0.0003448826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000676642,"about_ca_topic_score_gemma":0.0004933188,"domain_scores_codex":[0.9997529,0.00005585638,0.0000160846,0.00004404716,0.0001078388,0.0000231919],"domain_scores_gemma":[0.9995614,0.0001695893,0.00002583412,0.0001101334,0.0001096264,0.00002340873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003005479,0.00009155866,0.001451612,0.000131047,0.00004158598,0.0004537061,0.0002484722,0.3556141,0.08165582,0.1017725,0.005292542,0.4529463],"study_design_scores_gemma":[0.00002388029,0.00006473112,0.0003397113,0.000004629079,0.000007983485,0.0001534081,0.00001986846,0.9471142,0.01965947,0.02440027,0.008201668,0.000009997293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08837712,0.0001669276,0.8999351,0.0001464005,0.00008994072,0.00005682009,0.00008256581,0.002167704,0.008977387],"genre_scores_gemma":[0.6210446,0.0002572238,0.3697348,0.00006385727,0.00004821892,0.0001054314,0.0003825347,0.0002591681,0.008104263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003217642,"threshold_uncertainty_score":0.01076406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864597990004742,"score_gpt":0.2259513923026607,"score_spread":0.2073054124026132,"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."}}