{"id":"W135437107","doi":"","title":"Addressing Practical Software Development Issues in AspectJ with a Pointcut Interface","year":2001,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"AspectJ; Computer science; Software engineering; Context (archaeology); Programming language; Aspect-oriented programming; Software development; Development (topology); Software","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":[],"consensus_categories":[],"category_scores_codex":[0.0004145572,0.0001691468,0.0001985773,0.0001343409,0.00005200368,0.0001087345,0.00040696,0.00005338222,0.00002284494],"category_scores_gemma":[0.00103966,0.0001315814,0.00001537971,0.0004420878,0.00003878386,0.0007726071,0.0002812042,0.0002460328,0.00003629865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254662,"about_ca_system_score_gemma":0.0001194231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001317724,"about_ca_topic_score_gemma":0.00005067198,"domain_scores_codex":[0.9987134,0.00008447331,0.0002107528,0.0003931597,0.0002357908,0.0003624186],"domain_scores_gemma":[0.998806,0.0006521213,0.00004938589,0.0003719416,0.00005333636,0.00006721006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003026036,0.0006914067,0.0300005,0.0001760976,0.0001542846,0.003652994,0.01825453,0.1898916,0.001924266,0.02904857,0.002220726,0.7236825],"study_design_scores_gemma":[0.009673506,0.002742876,0.1715137,0.004284477,0.00004975562,0.009290508,0.005124104,0.05927206,0.3925798,0.1025618,0.2324954,0.0104121],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009310163,0.0001979807,0.9878459,0.001142703,0.000104933,0.0001066199,6.377785e-8,0.0009028966,0.0003887149],"genre_scores_gemma":[0.03946501,0.00001504661,0.9597864,0.0001034776,0.0000187079,0.00001708266,3.297222e-7,0.00001360887,0.0005803916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7132704,"threshold_uncertainty_score":0.5365732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274519626479393,"score_gpt":0.3906362919311975,"score_spread":0.2631843292832582,"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."}}