{"id":"W3102320290","doi":"10.22215/etd/2020-14169","title":"Studying the Change History of Code Snippets on Stack Overflow and GitHub","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Code (set theory); Reuse; Software evolution; Code reuse; World Wide Web; Source code; Software; Stack (abstract data type); Information retrieval; Code review; Software engineering; Data science; Database; Software development; Programming language; Static program analysis; Software construction; Engineering","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":[0.001310451,0.0003532806,0.0003054602,0.005332764,0.0008325279,0.001211833,0.0005858743,0.0007549069,0.002494717],"category_scores_gemma":[0.02530245,0.0003765901,0.0003521897,0.005540165,0.0008308273,0.002491885,0.001158123,0.001284768,0.001487818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909879,"about_ca_system_score_gemma":0.0007572763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01350914,"about_ca_topic_score_gemma":0.02380131,"domain_scores_codex":[0.9977239,0.0002470916,0.00009412859,0.0004190259,0.001312915,0.0002029179],"domain_scores_gemma":[0.9748761,0.0116058,0.004127505,0.002338934,0.006147616,0.0009041267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001120879,0.0006007423,0.4849542,0.0008504305,0.0002423083,0.002154373,0.013057,0.006622181,0.03650952,0.006771887,0.05071926,0.3963972],"study_design_scores_gemma":[0.00004103966,0.0003803841,0.8830809,0.0002767638,0.0001312237,0.001160995,0.003731665,0.03466882,0.02210581,0.0036237,0.05064587,0.0001528021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750355,0.000691284,0.004495384,0.000506171,0.0001391908,0.00008528694,0.006152017,0.002961091,0.009933943],"genre_scores_gemma":[0.956938,0.0005638027,0.01253105,0.0002353644,0.00008198732,0.0001539724,0.01539708,0.002826758,0.01127187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350914,"threshold_uncertainty_score":0.02686101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07927431558380178,"score_gpt":0.2896842231785736,"score_spread":0.2104099075947718,"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."}}