{"id":"W2598817001","doi":"10.1109/saner.2017.7884629","title":"Stack Overflow: A code laundering platform?","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Code reuse; Computer science; License; Android (operating system); Call stack; Reuse; Source code; Code (set theory); Stack (abstract data type); Operating system; Software; Computer security; Programming language; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008420997,0.0007294641,0.0004187757,0.004403763,0.002648851,0.003787312,0.001315492,0.002286585,0.004868475],"category_scores_gemma":[0.06227538,0.0006151948,0.0006130607,0.002785466,0.003124952,0.009636028,0.004783322,0.001842605,0.001606617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937591,"about_ca_system_score_gemma":0.003021903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00803998,"about_ca_topic_score_gemma":0.009332761,"domain_scores_codex":[0.9926447,0.00199443,0.0006120383,0.0009898836,0.003149058,0.0006099726],"domain_scores_gemma":[0.9519557,0.02460848,0.01106047,0.005569464,0.005225712,0.001580061],"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":[0.000844378,0.0004073247,0.2256825,0.00163811,0.0001793617,0.01499118,0.1179001,0.001793577,0.01954133,0.04085414,0.06916639,0.5070017],"study_design_scores_gemma":[0.0001313853,0.0006627649,0.2213174,0.003539254,0.0004368339,0.02267723,0.06646174,0.03305721,0.0418732,0.06919582,0.5400179,0.0006291968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511596,0.002806241,0.0689549,0.0175848,0.0005257143,0.0004612457,0.001610407,0.009178458,0.04771871],"genre_scores_gemma":[0.9410962,0.0009754279,0.03509356,0.003272441,0.0001999592,0.000133728,0.001539082,0.00128957,0.01640003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008420997,"threshold_uncertainty_score":0.04453504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08304347577343785,"score_gpt":0.3119751304834361,"score_spread":0.2289316547099983,"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."}}