{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01116217,0.001149342,0.001268565,0.00682475,0.0009029631,0.00344788,0.002789824,0.003326063,0.002285848],"category_scores_gemma":[0.1097503,0.001115894,0.001216854,0.00302426,0.0009896947,0.005789354,0.00171528,0.001724186,0.001020678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009278967,"about_ca_system_score_gemma":0.001643284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005381159,"about_ca_topic_score_gemma":0.00886607,"domain_scores_codex":[0.9854168,0.006903522,0.001048752,0.001872518,0.004219914,0.0005384419],"domain_scores_gemma":[0.8192456,0.1480664,0.008358259,0.01224545,0.01084055,0.001243775],"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":[0.0006112829,0.0005741973,0.06712485,0.0003597091,0.0001913505,0.0009717078,0.00200824,0.01680889,0.01641597,0.004906829,0.003065432,0.8869615],"study_design_scores_gemma":[0.0003556815,0.001633931,0.04583612,0.001030523,0.0008825575,0.006494514,0.002226383,0.793421,0.07596359,0.03748523,0.03433166,0.0003387489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1747971,0.002705137,0.8077105,0.001963876,0.00006047203,0.0004555849,0.0002826579,0.006240181,0.005784453],"genre_scores_gemma":[0.577549,0.0006664012,0.4186307,0.0002345104,0.00007720878,0.0002108213,0.0007643243,0.0003744907,0.001492509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01116217,"threshold_uncertainty_score":0.05903196,"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."}}