{"id":"W1991829485","doi":"10.1109/compsacw.2013.11","title":"Opportunities for Clone Detection in Test Case Recommendation","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Programmer; clone (Java method); Unit testing; Computer science; Context (archaeology); Software engineering; Software maintenance; Knowledge base; Test case; Data mining; Test (biology); Software; Software development; Programming language; World Wide Web; Machine learning","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":[0.0002238583,0.00004360884,0.00004400473,0.0001433366,0.00003902781,0.00009389654,0.0001187519,0.00002563091,0.00005794012],"category_scores_gemma":[0.0004931016,0.00004177741,0.00001209951,0.0001570194,0.000006967837,0.0004891506,0.0000503756,0.00005254159,0.00002610867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493145,"about_ca_system_score_gemma":0.00001811741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003983142,"about_ca_topic_score_gemma":0.0001008307,"domain_scores_codex":[0.9995731,0.00001183648,0.0000960203,0.0001216667,0.00005492273,0.0001424814],"domain_scores_gemma":[0.9988828,0.0008505821,0.00001202324,0.0001428113,0.00006946773,0.00004232754],"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":[9.155336e-7,0.00004111344,0.001214289,0.0000197959,0.000002382308,0.00004451714,0.000134072,0.0000448275,0.001381404,0.0007255371,0.003203625,0.9931875],"study_design_scores_gemma":[0.0006145823,0.0002900231,0.01255126,0.00001247883,0.000001170294,0.0005506051,0.0003651489,0.9578281,0.01993602,0.001662594,0.005920494,0.00026753],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.12295,0.00000362631,0.8745329,0.001609606,0.0001187868,0.0002626357,7.946016e-7,0.0001959197,0.0003257112],"genre_scores_gemma":[0.9721587,0.000002939257,0.02683264,0.00006845097,0.00002427133,0.0001938659,0.000001856982,0.000004966618,0.0007123579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.99292,"threshold_uncertainty_score":0.1703633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08035914689720865,"score_gpt":0.2903417199036316,"score_spread":0.209982573006423,"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."}}