{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004405044,0.0003300924,0.0004397379,0.0001288022,0.0003230851,0.001488702,0.003216067,0.0003582251,0.0000232487],"category_scores_gemma":[0.00005478959,0.0002859147,0.0001861443,0.00004572446,0.00003901254,0.0004006905,0.003626772,0.0005657393,0.000263274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129236,"about_ca_system_score_gemma":0.0002266428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005630593,"about_ca_topic_score_gemma":0.0001536692,"domain_scores_codex":[0.9978876,0.00002978813,0.0003484367,0.0008394468,0.0004465697,0.0004481383],"domain_scores_gemma":[0.9965603,0.00006600525,0.0003046657,0.002841936,0.00006896401,0.0001580994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003820963,0.0004427173,0.00512177,0.002271534,0.0009553892,0.0007043084,0.05084635,0.01172557,0.001898768,0.6292,0.2466982,0.05009716],"study_design_scores_gemma":[0.001394059,0.0001727117,0.001477396,0.0024035,0.00003072239,0.0001862113,0.0004368366,0.7838641,0.007352635,0.05047615,0.1488174,0.003388306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0205332,0.0004907986,0.8347825,0.0006644726,0.006666696,0.0003953212,0.00001478818,0.001051452,0.1354007],"genre_scores_gemma":[0.9509815,0.00008132496,0.02888937,0.0002067835,0.0005544519,0.00005574676,0.00001132325,0.00003426515,0.01918523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9304483,"threshold_uncertainty_score":0.9999593,"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."}}