{"id":"W4236319854","doi":"10.1145/1104011.1103858","title":"AspectAda","year":2005,"lang":"en","type":"article","venue":"ACM SIGAda Ada Letters","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Programming language; Computer science; AspectJ; First-generation programming language; Java; Interface (matter); Low-level programming language; Fourth-generation programming language; Aspect-oriented programming; Very high-level programming language; Programming language specification; Programming paradigm; Programming domain; Functional logic programming; Inductive programming; Software; Operating system","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":[0.00188072,0.001186476,0.0006323927,0.001319127,0.0009707364,0.004081352,0.002452917,0.001587987,0.03207406],"category_scores_gemma":[0.006556825,0.001214594,0.001545365,0.0007683318,0.0007798251,0.005456275,0.004203431,0.003395462,0.02565572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349264,"about_ca_system_score_gemma":0.00166273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135512,"about_ca_topic_score_gemma":0.001603778,"domain_scores_codex":[0.997973,0.0003293158,0.0002290748,0.0003084774,0.0009939433,0.0001660693],"domain_scores_gemma":[0.9977183,0.0005550467,0.0001750711,0.0007275274,0.0006092639,0.0002147867],"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":[0.0004503543,0.0002020707,0.001640415,0.00152795,0.0001377176,0.0007542149,0.001514499,0.002533541,0.019673,0.3088061,0.2349548,0.4278053],"study_design_scores_gemma":[0.00003286784,0.00002537426,0.000165159,0.00008806095,0.00002509306,0.0004466832,0.00005066063,0.002388194,0.003557969,0.01721681,0.9759796,0.00002352482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004428443,0.002302449,0.6926354,0.001123466,0.001580513,0.0007309637,0.001880955,0.126532,0.1687858],"genre_scores_gemma":[0.09200253,0.005074572,0.604131,0.002883234,0.0008323707,0.00180946,0.01410624,0.05149059,0.22767],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03207406,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024166371813279,"score_gpt":0.261369772295011,"score_spread":0.237203400481732,"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."}}