{"id":"W4417127346","doi":"10.3390/software4040033","title":"Graph Generalization for Software Engineering","year":2025,"lang":"en","type":"article","venue":"Software","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Correctness; Generalization; Scalability; Class (philosophy); Software; Syntax; Simple (philosophy); Graph","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000130246,0.000102338,0.00009860878,0.0001606684,0.0001369207,0.00008042555,0.0004329608,0.000053689,0.00000388843],"category_scores_gemma":[0.0002353548,0.000102387,0.00008778013,0.0005285573,0.00001300436,0.0002238098,0.00008625273,0.00005273362,0.000004928683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001451743,"about_ca_system_score_gemma":0.0000313359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001695082,"about_ca_topic_score_gemma":7.725083e-7,"domain_scores_codex":[0.9993427,0.00001396685,0.0001212821,0.0002450838,0.00007768244,0.0001992247],"domain_scores_gemma":[0.9994159,0.0001331171,0.00002668994,0.0003059747,0.00008063234,0.00003762567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007129129,0.00005221387,0.005020265,0.0002053365,0.0000645011,0.000005003813,0.0003628914,0.009909634,0.0002821877,0.8696282,0.004468093,0.1099945],"study_design_scores_gemma":[0.001888506,0.0001658165,0.01016752,0.0003223715,0.00005534179,0.00001221307,0.00003454253,0.1039744,0.01536036,0.7951975,0.07170068,0.001120658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002075101,0.0002689906,0.995921,0.0001258507,0.0007972894,0.0001615964,0.000008700283,0.0006217755,0.00001975215],"genre_scores_gemma":[0.04859451,0.00001033476,0.9495239,0.0007546659,0.00008592349,0.0001159006,0.00002914646,0.00001567309,0.000869941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1088739,"threshold_uncertainty_score":0.4175222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684026980776802,"score_gpt":0.2230374234529576,"score_spread":0.2163533964721808,"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."}}