{"id":"W3023991692","doi":"","title":"Clones and Macro-Co-Changes","year":2014,"lang":"en","type":"article","venue":"VUBIR (Vrije Universiteit Brussel)","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Macro; clone (Java method); Commit; Computer science; Cloning (programming); Biology; Genetics; Programming language; Database; Gene","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":[0.0002072996,0.0001649978,0.0001660418,0.0003340708,0.0002039621,0.0001071372,0.0007764214,0.00008141892,0.00002932479],"category_scores_gemma":[0.0001521823,0.0001710319,0.00003795938,0.0004452473,0.00009865948,0.0003850759,0.0003974002,0.0001737924,0.0001522118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005608609,"about_ca_system_score_gemma":0.00003342307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007165327,"about_ca_topic_score_gemma":0.00001159655,"domain_scores_codex":[0.9987128,0.00005861441,0.00008176867,0.0004351258,0.0003167266,0.0003949813],"domain_scores_gemma":[0.9986371,0.0005060322,0.0000347862,0.0005444676,0.00007458961,0.0002029812],"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":[0.0001437788,0.0003046477,0.1359714,0.0005486517,0.0003963261,0.001452734,0.02091875,0.0009132918,0.02785059,0.1926901,0.05547392,0.5633358],"study_design_scores_gemma":[0.002786172,0.0008873671,0.1714402,0.0001170147,0.00003292131,0.0004659116,0.0003270865,0.03796747,0.01780858,0.001298137,0.7652153,0.001653844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937157,0.0005049609,0.1950955,0.003156936,0.0004054073,0.0002603284,0.000008070178,0.001386259,0.005466868],"genre_scores_gemma":[0.9816104,0.0001793084,0.01634791,0.0002035997,0.000140642,0.000001806909,0.00000364588,0.00002264,0.001490095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7097414,"threshold_uncertainty_score":0.6974478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007667919469674493,"score_gpt":0.2142794279402574,"score_spread":0.206611508470583,"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."}}