{"id":"W1995653819","doi":"10.1109/msr.2013.6624021","title":"Understanding the evolution of Type-3 clones: An exploratory study","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"clone (Java method); Type (biology); Biology; Computer science; Programming language; Genetics; 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":[0.0003722869,0.0000472765,0.00005350878,0.000073816,0.00005698607,0.00006508825,0.0005787341,0.00001634109,0.00003040131],"category_scores_gemma":[0.00009989999,0.00003045596,0.00001160927,0.0004442703,0.00002606733,0.000513836,0.0001466759,0.00007102556,0.00006483461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500043,"about_ca_system_score_gemma":0.0000560177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373761,"about_ca_topic_score_gemma":0.00002751251,"domain_scores_codex":[0.9993173,0.0000666353,0.00008936461,0.0001343602,0.0002634155,0.000128873],"domain_scores_gemma":[0.9991258,0.0002339262,0.00001637521,0.0004941968,0.00008926837,0.00004041411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001384356,0.001305814,0.5155318,0.00006275494,0.0001570384,0.00001267404,0.0607076,0.00876754,0.007492984,0.3898122,0.01115458,0.004981179],"study_design_scores_gemma":[0.001077136,0.0021984,0.4271545,0.0000341447,0.00001202887,0.00000951342,0.1071024,0.4281041,0.001066991,0.03256475,0.0001048086,0.0005712123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3801909,0.00002106245,0.6191479,0.00007501503,0.0001242103,0.0001774255,3.977993e-8,0.0001171847,0.000146251],"genre_scores_gemma":[0.9981591,8.05022e-7,0.001723038,0.000009052994,0.00001829263,0.00001559336,8.162844e-8,0.000004529843,0.00006947158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6179682,"threshold_uncertainty_score":0.1241958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064727362295319,"score_gpt":0.2936495401261054,"score_spread":0.1871768038965736,"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."}}