{"id":"W2384089678","doi":"","title":"Research on the Semantics of Call and Execution in AspectJ","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"AspectJ; Computer science; Programming language; Aspect-oriented programming; Semantics (computer science); Java; Extension (predicate logic); Software engineering; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009746127,0.001356079,0.001462613,0.002988331,0.002379738,0.007427269,0.003260944,0.002398333,0.002534933],"category_scores_gemma":[0.02066892,0.002331483,0.002811929,0.004050552,0.008148776,0.02592148,0.002106317,0.009886211,0.0007631574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00389664,"about_ca_system_score_gemma":0.00471038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00563265,"about_ca_topic_score_gemma":0.003152429,"domain_scores_codex":[0.988538,0.00211066,0.001276107,0.00188581,0.005308943,0.0008804467],"domain_scores_gemma":[0.9849277,0.006187055,0.00142505,0.0031631,0.003954057,0.0003431133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004903639,0.00005193198,0.0007224155,0.0003379254,0.00004334699,0.0001133612,0.001096093,0.003807545,0.004598308,0.946688,0.0009916034,0.04150045],"study_design_scores_gemma":[0.00004216021,0.000113936,0.0009239526,0.0004875204,0.0001776889,0.0005282861,0.0005168847,0.05105122,0.01469529,0.8496763,0.08161028,0.0001764044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01723429,0.005895359,0.9612267,0.001882424,0.0005712172,0.0001059347,0.00008275455,0.0008744204,0.01212692],"genre_scores_gemma":[0.3399116,0.01314555,0.6327299,0.001648484,0.00149242,0.0002949221,0.0005073549,0.002582695,0.007687162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009746127,"threshold_uncertainty_score":0.051543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04476311445538066,"score_gpt":0.3756338870473994,"score_spread":0.3308707725920187,"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."}}