{"id":"W2403286830","doi":"","title":"Feature Model Debugging based on Description Logic Reasoning.","year":2011,"lang":"en","type":"article","venue":"Distributed Multimedia Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; University of New Brunswick","funders":"","keywords":"Feature model; Software product line; Computer science; Feature (linguistics); Domain engineering; Debugging; Domain (mathematical analysis); Rotation formalisms in three dimensions; Domain model; Artificial intelligence; Software; Domain knowledge; Programming language; Data mining; Software engineering; Software system; Software development; Software construction","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":[0.0005564984,0.0002972456,0.0003211443,0.0001532578,0.0001228688,0.00009698648,0.0007985946,0.0002127839,0.000001872591],"category_scores_gemma":[0.001322787,0.0002635803,0.00009190843,0.0004217043,0.00004583598,0.0003990096,0.0001008111,0.000330609,0.00003553195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016457,"about_ca_system_score_gemma":0.00007074286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002468157,"about_ca_topic_score_gemma":0.000001061904,"domain_scores_codex":[0.9982207,0.0001429088,0.0002333192,0.0005605489,0.0003485404,0.0004939985],"domain_scores_gemma":[0.9982705,0.0004050806,0.0001623192,0.0008482022,0.0001495251,0.0001644132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002996046,0.00007966394,0.0004147602,0.00006172944,0.00002257597,0.00005753513,0.0006106906,0.9874143,0.0008089829,0.003957878,0.001750242,0.004791699],"study_design_scores_gemma":[0.0003446435,0.00005974074,0.0008151132,0.0001511533,0.000009394947,0.00001075147,0.00003834358,0.9964112,0.0009925753,0.0007264482,0.0001415575,0.000299054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004042063,0.0002814395,0.995492,0.00008902446,0.001315217,0.0003268888,0.00007088176,0.001856289,0.0001640722],"genre_scores_gemma":[0.3666188,0.000003828146,0.6330274,0.00005411746,0.00005036977,0.00008343232,0.00008198642,0.00001973952,0.00006035913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3662146,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07492294843121049,"score_gpt":0.2681052880179838,"score_spread":0.1931823395867733,"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."}}