{"id":"W4226304690","doi":"10.1145/3524610.3528387","title":"A first look at duplicate and near-duplicate self-admitted technical debt comments","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Debt; Information retrieval; Business; Finance","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":[0.007163749,0.0006085621,0.0007152096,0.009930717,0.003464415,0.004473788,0.001650341,0.002074102,0.009446167],"category_scores_gemma":[0.1042167,0.0006644793,0.0006311595,0.01247527,0.001979419,0.008606934,0.004203014,0.003012412,0.00433454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028069,"about_ca_system_score_gemma":0.00270764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00515989,"about_ca_topic_score_gemma":0.006123803,"domain_scores_codex":[0.9816332,0.003133958,0.001614651,0.001922044,0.01043238,0.001263741],"domain_scores_gemma":[0.783118,0.1068084,0.01926079,0.02423721,0.06453009,0.002045472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001726122,0.0004752902,0.1368681,0.004238469,0.0002822683,0.01120924,0.06818298,0.002865055,0.02078839,0.121414,0.1476749,0.4842753],"study_design_scores_gemma":[0.00007422436,0.000237392,0.09737994,0.002662099,0.0001430817,0.01181939,0.02991763,0.01096131,0.01603989,0.06039934,0.7700652,0.00030047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.565875,0.0149827,0.1990856,0.0133094,0.003635666,0.0009574298,0.03264569,0.006928409,0.1625802],"genre_scores_gemma":[0.7580351,0.004382748,0.1357059,0.004206058,0.001375765,0.0004702414,0.02605519,0.0056284,0.06414048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009930717,"threshold_uncertainty_score":0.03788596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967840513103702,"score_gpt":0.2734394073390053,"score_spread":0.2537610022079683,"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."}}