{"id":"W53786381","doi":"10.1007/978-3-319-08789-4_11","title":"ChainTracker, a Model-Transformation Trace Analysis Tool for Code-Generation Environments","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Code generation; Traceability; Computer science; TRACE (psycholinguistics); Model transformation; Code (set theory); Software engineering; Transformation (genetics); Synchronizing; Systems engineering; Programming language; Engineering; Artificial intelligence; Consistency (knowledge bases); Key (lock); Computer security","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":[0.001442538,0.00167609,0.0007775489,0.001886546,0.0008077984,0.002080107,0.002701332,0.001247197,0.02012968],"category_scores_gemma":[0.006479785,0.001327744,0.001343995,0.001577744,0.0006381986,0.003323322,0.002165436,0.002778355,0.005808318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698096,"about_ca_system_score_gemma":0.002815063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446184,"about_ca_topic_score_gemma":0.005337997,"domain_scores_codex":[0.998647,0.0001991061,0.00009286281,0.0002450705,0.0007186679,0.00009730388],"domain_scores_gemma":[0.997382,0.001351001,0.0001598492,0.0006142895,0.0004227974,0.00007012507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003338756,0.000346079,0.002008794,0.0009560525,0.0001373219,0.0003479538,0.00075396,0.03697557,0.02631119,0.04191115,0.06138119,0.8285368],"study_design_scores_gemma":[0.0002385357,0.0002596984,0.001244016,0.0004591683,0.0002010184,0.0006764285,0.0002300772,0.5937846,0.1232942,0.09022591,0.1892032,0.0001832454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002461804,0.0001573862,0.942682,0.00008794935,0.00006418448,0.0000925412,0.0005515142,0.05079138,0.003111174],"genre_scores_gemma":[0.05398841,0.0006355501,0.8992699,0.0001858234,0.00004356745,0.0003137989,0.004360678,0.02463898,0.01656331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02012968,"threshold_uncertainty_score":0.06734049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723346771089392,"score_gpt":0.2361664224659337,"score_spread":0.2189329547550398,"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."}}