{"id":"W2101198558","doi":"10.1109/32.877844","title":"Advanced exception handling mechanisms","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exception handling; Computer science; Programming language; Concurrency; Feature (linguistics); Concurrency control; Object (grammar); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002370433,0.0003194388,0.0002706291,0.0002451722,0.0001770243,0.0000808792,0.0005537667,0.0001323825,0.0001275947],"category_scores_gemma":[0.00007787836,0.0003524982,0.000141619,0.0005672989,0.00001745987,0.0007965228,0.000003194571,0.0004188122,0.0001526322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344376,"about_ca_system_score_gemma":0.00002454513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003397773,"about_ca_topic_score_gemma":7.132396e-7,"domain_scores_codex":[0.9983638,0.00003730721,0.0002956815,0.0005243192,0.00030094,0.0004779451],"domain_scores_gemma":[0.9986264,0.0005041906,0.00003743153,0.0006508984,0.00004587612,0.0001351657],"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":[0.00000689619,0.0000213072,4.554707e-7,0.00001808887,0.0000142247,0.000006817336,0.000111684,0.7651222,0.002124376,0.0002659085,0.000004261841,0.2323038],"study_design_scores_gemma":[0.003442599,0.001050986,0.0005415715,0.000888347,0.00009427861,0.0003811304,0.00005910229,0.5189825,0.4509355,0.01324175,0.006087593,0.004294696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005661968,0.00006784438,0.9884562,0.00002500409,0.001434914,0.0001785944,0.000005844426,0.004152629,0.0000169429],"genre_scores_gemma":[0.2368483,0.00006296754,0.762536,0.00004460533,0.00002618244,0.00007887547,0.00000100658,0.00004553281,0.0003565147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4488111,"threshold_uncertainty_score":0.9998927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509469912932844,"score_gpt":0.2357682562586422,"score_spread":0.2206735571293137,"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."}}