{"id":"W2295126561","doi":"10.14279/tuj.eceasst.63.923.915","title":"About Metrics for Clone Detection","year":2014,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Similarity (geometry); clone (Java method); Computer science; Cosine similarity; Scalability; Function (biology); Detector; Data mining; Trigonometric functions; Quality (philosophy); Artificial intelligence; Pattern recognition (psychology); Mathematics; Telecommunications; Gene; 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":[0.001209609,0.0002461137,0.0003265079,0.0007281022,0.0003439567,0.0004215167,0.001185828,0.00019845,0.000003864156],"category_scores_gemma":[0.0009528591,0.0002425199,0.0002290629,0.001450704,0.00003989692,0.0005920758,0.0002693208,0.0002266754,0.00002448596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794144,"about_ca_system_score_gemma":0.00009571376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643028,"about_ca_topic_score_gemma":0.0005215859,"domain_scores_codex":[0.997967,0.0001178715,0.0003874591,0.0005852674,0.0003333761,0.0006090171],"domain_scores_gemma":[0.9977183,0.000305524,0.0002149558,0.001279432,0.0001650155,0.0003167317],"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":[0.0000399715,0.0002038461,0.005390156,0.00005340911,0.00009836255,0.0000070709,0.000252129,0.001168401,0.01574996,0.1113161,0.005731754,0.8599889],"study_design_scores_gemma":[0.0003850023,0.0002345439,0.002466534,0.00001895221,0.00003574146,0.00002787003,0.00002188229,0.9386075,0.02444072,0.004393219,0.02901212,0.0003559734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01159981,0.0004230223,0.9846943,0.001520016,0.0001688769,0.0002776465,0.00001782043,0.0009046639,0.0003938686],"genre_scores_gemma":[0.6399257,0.00005946924,0.3572945,0.001581303,0.0001919945,0.0002794069,0.00002316741,0.00002887767,0.0006156202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.937439,"threshold_uncertainty_score":0.9889673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156453056962428,"score_gpt":0.2313136639633694,"score_spread":0.2197491333937452,"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."}}