{"id":"W1883797946","doi":"10.1007/11940197_2","title":"Aspects for Trace Monitoring","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McGill University","funders":"","keywords":"AspectJ; Computer science; TRACE (psycholinguistics); Programming language; Compiler; Programmer; Property (philosophy); Feature (linguistics); Undo; Datalog; Aspect-oriented programming; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009541929,0.0005410208,0.0005535074,0.0006517016,0.0002094622,0.0003398481,0.003122886,0.0003192734,0.0000014614],"category_scores_gemma":[0.0004978724,0.0005324914,0.000156003,0.0004431342,0.0003360384,0.0006078363,0.0007777955,0.0006606374,0.000008843786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031562,"about_ca_system_score_gemma":0.0002868896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006124197,"about_ca_topic_score_gemma":0.000005472702,"domain_scores_codex":[0.9966284,0.00002280303,0.0004361116,0.001479522,0.0006551929,0.0007779599],"domain_scores_gemma":[0.9958091,0.002362064,0.0002183667,0.001284175,0.0002147476,0.0001115369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002260799,0.000007956552,0.000009947532,0.00004104102,0.000004924227,0.0000337045,0.0001220044,0.5623332,0.0002112998,0.0115074,0.00001691638,0.4257093],"study_design_scores_gemma":[0.0003281381,0.0002017584,0.0001639314,0.0004243497,0.000008737057,0.00005677349,8.515897e-8,0.152276,0.01336655,0.829212,0.002879431,0.001082274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001500446,0.001130706,0.9925085,0.0002250548,0.004162377,0.0004554181,0.000004304809,0.0006446544,0.0008540284],"genre_scores_gemma":[0.009260989,0.00002032746,0.9891881,0.00008161563,0.0009140528,0.00002541193,0.000001607061,0.00004956915,0.0004583668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8177046,"threshold_uncertainty_score":0.9997126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004016185139735,"score_gpt":0.2925132254012492,"score_spread":0.2524730635498518,"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."}}