{"id":"W1508786042","doi":"10.1007/978-3-642-19440-5_17","title":"Debugging in Domain-Specific Modelling","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Debugging; Computer science; Domain (mathematical analysis); Scope (computer science); Algorithmic program debugging; Software engineering; Context (archaeology); Programming language; Obstacle; Software; Background debug mode interface","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":[0.001048611,0.000649568,0.0006230219,0.001661107,0.0001331645,0.0003361197,0.004352,0.0004206421,0.00001484719],"category_scores_gemma":[0.000002837017,0.0006640985,0.0001339739,0.0007371937,0.0003670485,0.0007364588,0.001527363,0.001241305,0.00003275867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005455482,"about_ca_system_score_gemma":0.0002895548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003823932,"about_ca_topic_score_gemma":0.00002950458,"domain_scores_codex":[0.995751,0.00003019613,0.0006669539,0.0018192,0.0008456624,0.0008869733],"domain_scores_gemma":[0.9973822,0.0001927108,0.0002124842,0.001892713,0.0001496184,0.000170225],"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":[0.000002309032,0.00001560515,0.00002202226,0.00002027342,0.000003543444,0.0001378971,0.001070176,0.2553649,0.00003142104,0.3456195,0.000008592365,0.3977038],"study_design_scores_gemma":[0.0001268468,0.00005363625,0.00001720032,0.000584281,0.000001614173,0.0000478218,1.741838e-8,0.5941641,0.0004759858,0.3802952,0.02354058,0.0006926518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004751782,0.000850671,0.9951533,0.0001249752,0.0009951604,0.0003937632,0.000001764959,0.000794773,0.001638044],"genre_scores_gemma":[0.02015891,0.0001413716,0.9791223,0.0002373369,0.0001922658,0.00001841779,0.000001964846,0.0000584634,0.00006900609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3970111,"threshold_uncertainty_score":0.999581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772832648594968,"score_gpt":0.2212625569768153,"score_spread":0.1935342304908656,"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."}}