{"id":"W2109757792","doi":"10.1016/j.advengsoft.2009.05.003","title":"A document driven methodology for developing a high quality Parallel Mesh Generation Toolbox","year":2009,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Traceability; Maintainability; Correctness; Toolbox; Documentation; Software quality; Software engineering; Reliability engineering; Software; Algorithm; Programming language; Software development; Engineering","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":[0.003461523,0.0009185812,0.0006792684,0.001445813,0.0009434079,0.002787284,0.002471619,0.001327378,0.01511562],"category_scores_gemma":[0.007931264,0.0008842419,0.001301037,0.0008306424,0.000944202,0.001809223,0.002477524,0.002206719,0.007613759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007731672,"about_ca_system_score_gemma":0.002231529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387461,"about_ca_topic_score_gemma":0.002074692,"domain_scores_codex":[0.9975355,0.0005483614,0.0002386543,0.0002623338,0.00129998,0.0001152351],"domain_scores_gemma":[0.9957587,0.001108997,0.0001967475,0.0009881202,0.001808087,0.0001393681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002349217,0.000332024,0.001622991,0.0008754506,0.000139263,0.0008202772,0.001281919,0.0702893,0.06548947,0.1853031,0.0299423,0.6436691],"study_design_scores_gemma":[0.0001668562,0.0001799018,0.0003800806,0.0001662552,0.00009370674,0.000890338,0.0002233699,0.7249348,0.07733761,0.06659856,0.1289136,0.0001149899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004087313,0.00000729656,0.9967157,0.00002304205,0.00001096955,0.00007745553,0.00003966846,0.001983634,0.0007335696],"genre_scores_gemma":[0.01694322,0.00004114506,0.9773011,0.00005587718,0.00001514741,0.0003063074,0.0004077399,0.001683001,0.003246508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01511562,"threshold_uncertainty_score":0.05056679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04369639153670694,"score_gpt":0.3270189545474013,"score_spread":0.2833225630106944,"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."}}