{"id":"W2014229452","doi":"10.1145/2735386.2736751","title":"Essential retroactive weaving","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Weaving; Programming language; Debugging; Semantics (computer science); Fidelity; Aspect-oriented programming; Context (archaeology); Interpreter; Soundness; Process (computing); Class (philosophy); Artificial intelligence; Software","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005234343,0.00108429,0.0006718788,0.001086659,0.001072861,0.003894947,0.002773901,0.001332463,0.00411977],"category_scores_gemma":[0.02147843,0.0008873465,0.001228214,0.0007173387,0.004657455,0.006203438,0.005713165,0.003556144,0.001667116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007919581,"about_ca_system_score_gemma":0.002111161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115961,"about_ca_topic_score_gemma":0.0009707776,"domain_scores_codex":[0.9925843,0.001668616,0.0006136342,0.001291309,0.003170696,0.0006715286],"domain_scores_gemma":[0.9832516,0.003987761,0.0008188906,0.008553601,0.002925434,0.0004627628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004275381,0.0003139756,0.004345671,0.0005592063,0.0001448384,0.001692264,0.008662656,0.01825177,0.05678902,0.6734444,0.006222628,0.229146],"study_design_scores_gemma":[0.00008817662,0.0003213491,0.001166968,0.0004498069,0.0002056975,0.002522262,0.001479349,0.1035943,0.1320707,0.5659527,0.1919519,0.0001969171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01570405,0.0001349324,0.9684075,0.0004174536,0.0001166838,0.0001879782,0.00007602602,0.004309994,0.0106453],"genre_scores_gemma":[0.4142453,0.0003673634,0.5640841,0.0007310654,0.00008155005,0.000534714,0.0003342576,0.00305824,0.01656334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005234343,"threshold_uncertainty_score":0.02768219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06526369528612475,"score_gpt":0.3079385469713581,"score_spread":0.2426748516852333,"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."}}