{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002389784,0.00120593,0.0007517364,0.002511853,0.0009366085,0.002040586,0.001972591,0.001298067,0.005165033],"category_scores_gemma":[0.0118795,0.000654472,0.001944116,0.002848506,0.002855813,0.005754116,0.002582848,0.003550159,0.001637838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146203,"about_ca_system_score_gemma":0.001972799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488301,"about_ca_topic_score_gemma":0.003937247,"domain_scores_codex":[0.9978215,0.0007038318,0.0001223363,0.0006971771,0.0005787945,0.00007642977],"domain_scores_gemma":[0.9921848,0.003555416,0.0006143779,0.002931202,0.0005733107,0.0001409824],"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":[0.00006487315,0.00007017176,0.001396364,0.0004369353,0.00007968446,0.0001352013,0.0003394251,0.1308182,0.003937101,0.6390992,0.01012436,0.2134984],"study_design_scores_gemma":[0.00001019757,0.00003404549,0.0002514067,0.00009506533,0.00001970552,0.0001716087,0.00005732236,0.1886332,0.002051451,0.7730742,0.03557843,0.00002360267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003985229,0.0006410935,0.9891921,0.0007045465,0.0001061653,0.00007233294,0.0002441414,0.002024723,0.003029687],"genre_scores_gemma":[0.1270929,0.001524991,0.8649963,0.0006337304,0.0002275413,0.00027503,0.001115618,0.0009547239,0.003179227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005165033,"threshold_uncertainty_score":0.01727879,"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."}}