{"id":"W2104953356","doi":"10.1109/wpc.2000.852493","title":"The effect of call graph construction algorithms for object-oriented programs on automatic clustering","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Call graph; Cluster analysis; Programming language; Java; Compiler; Scalability; Theoretical computer science; Algorithm; Artificial intelligence; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0004360013,0.0001050823,0.0001268882,0.00009389659,0.0001206753,0.00008278057,0.0004166155,0.00003950554,0.00000348125],"category_scores_gemma":[0.0003797951,0.00006575046,0.00007707419,0.000426635,0.00007103753,0.00009806608,0.00008653824,0.00009548071,0.000009197718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003749267,"about_ca_system_score_gemma":0.000006561077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001325361,"about_ca_topic_score_gemma":0.000003263206,"domain_scores_codex":[0.9989717,0.00005225938,0.0001744083,0.0002083408,0.0003086134,0.0002846929],"domain_scores_gemma":[0.9978457,0.001587827,0.00004247795,0.0004073683,0.00006198057,0.00005465651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000774409,0.0000257528,0.001796129,0.0001114178,0.00003602556,0.000001810743,0.0001656886,0.0004697499,0.00009816892,0.001454704,0.0003092092,0.9955236],"study_design_scores_gemma":[0.0005454731,0.001207258,0.0008566669,0.00004847936,0.000003999705,0.0000169345,0.00000709427,0.9913845,0.005351949,0.00006249354,0.0004221708,0.0000930022],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06890412,0.00004985221,0.9288929,0.0001152075,0.000570078,0.0008214153,6.206751e-7,0.0004874555,0.0001584082],"genre_scores_gemma":[0.8482984,0.00000905085,0.1509427,0.00001118509,0.00005453771,0.0003433438,0.000001426975,0.0000197215,0.0003197228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9954306,"threshold_uncertainty_score":0.2681226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562811438233302,"score_gpt":0.261918587092449,"score_spread":0.246290472710116,"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."}}