{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006855293,0.001157869,0.00120704,0.001142382,0.0006737309,0.002893176,0.002737627,0.001879441,0.003463267],"category_scores_gemma":[0.02564277,0.0016108,0.001215685,0.001383459,0.002472959,0.007097565,0.00287867,0.003639085,0.0007923409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063926,"about_ca_system_score_gemma":0.00134965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342931,"about_ca_topic_score_gemma":0.001869568,"domain_scores_codex":[0.9950055,0.002679446,0.0003932854,0.0005758133,0.001118727,0.0002271785],"domain_scores_gemma":[0.9807975,0.012548,0.0005870263,0.005115049,0.0007796005,0.0001727938],"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":[0.0001522174,0.00012777,0.001953268,0.0009630963,0.0001117964,0.0005050065,0.001451017,0.1082068,0.003805384,0.5237696,0.00513587,0.3538182],"study_design_scores_gemma":[0.0000434155,0.00004479015,0.0003489893,0.0004195423,0.0001055864,0.000561889,0.0001560802,0.4423707,0.01162445,0.5150913,0.0291935,0.00003979979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005114331,0.0005780759,0.9889833,0.0002670555,0.00003989532,0.00003467164,0.00002806537,0.001792192,0.003162441],"genre_scores_gemma":[0.2461423,0.001429352,0.745688,0.0002284783,0.00006442125,0.0001109113,0.000331956,0.00103283,0.004971805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006855293,"threshold_uncertainty_score":0.0362547,"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."}}