{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02780017,0.004300456,0.00368734,0.01528182,0.003062897,0.009403893,0.003255781,0.005446299,0.00514285],"category_scores_gemma":[0.2114609,0.001600767,0.003557604,0.01941298,0.005311755,0.02978329,0.004070163,0.007915345,0.002063071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004705672,"about_ca_system_score_gemma":0.002352361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003351267,"about_ca_topic_score_gemma":0.001508119,"domain_scores_codex":[0.9328217,0.02824375,0.006856975,0.008653293,0.02147415,0.001950149],"domain_scores_gemma":[0.7810317,0.1586553,0.009820765,0.01977686,0.02814922,0.002566197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003182529,0.0002874819,0.0174905,0.002981675,0.0004467537,0.0003331063,0.0009569293,0.03702081,0.007844597,0.3487539,0.02078309,0.5627829],"study_design_scores_gemma":[0.00006481827,0.0006749493,0.007029132,0.001210547,0.0003586589,0.001568854,0.000502522,0.1094824,0.01634135,0.7933375,0.06910966,0.0003195004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01780703,0.0215344,0.9421411,0.006642097,0.00105739,0.0002246735,0.0009838018,0.001690135,0.007919393],"genre_scores_gemma":[0.2339749,0.01462038,0.7343271,0.002593534,0.003033003,0.001064861,0.004486287,0.002386786,0.003513083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02780017,"threshold_uncertainty_score":0.1470231,"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."}}