{"id":"W2129423489","doi":"10.1109/wcre.2009.49","title":"Approximate Graph Matching in Software Engineering","year":2009,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Graph; Theoretical computer science; Matching (statistics); Software; Software engineering; Programming language; Mathematics","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":[0.001429129,0.0006710636,0.001214779,0.002455235,0.0008064432,0.002231472,0.001703883,0.002050985,0.002192662],"category_scores_gemma":[0.01001446,0.0005331783,0.0007820529,0.00619262,0.002155632,0.006926587,0.001954404,0.001722783,0.0005868319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324003,"about_ca_system_score_gemma":0.0009992827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003632508,"about_ca_topic_score_gemma":0.00272456,"domain_scores_codex":[0.9978617,0.0008307978,0.0001137856,0.0005290253,0.0005496274,0.0001150496],"domain_scores_gemma":[0.9970068,0.001586686,0.0003430007,0.0006342847,0.0003331962,0.00009609577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006449653,0.00007110096,0.0008057628,0.0003724906,0.00005568561,0.00009467403,0.0001959136,0.2000522,0.001450354,0.6474892,0.004313882,0.1450342],"study_design_scores_gemma":[0.000008642385,0.00002591434,0.0002239247,0.00003463293,0.00001684669,0.00007635063,0.00006106331,0.2484899,0.0006791002,0.7435869,0.006783393,0.00001344254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02065071,0.004142599,0.9678572,0.001007266,0.0001271392,0.00006730228,0.0001380581,0.0004268105,0.005582946],"genre_scores_gemma":[0.4422008,0.008633209,0.539436,0.0004254037,0.0003105963,0.0002094141,0.0008384276,0.0002356656,0.007710449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003632508,"threshold_uncertainty_score":0.01686186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005741452150948093,"score_gpt":0.1976688734706863,"score_spread":0.1919274213197382,"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."}}