{"id":"W2950694606","doi":"10.48550/arxiv.1703.03897","title":"Stack Overflow: A Code Laundering Platform?","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":2,"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); Reuse; Call stack; 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"],"consensus_categories":[],"category_scores_codex":[0.0003359902,0.0003935474,0.0004648537,0.0002466965,0.0004996286,0.0005562409,0.00367518,0.0004165199,0.00001416809],"category_scores_gemma":[0.00004633375,0.0004458034,0.0002722592,0.0001818919,0.000102088,0.0007078768,0.003273639,0.0006878314,0.0002294308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130236,"about_ca_system_score_gemma":0.0002705272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004336409,"about_ca_topic_score_gemma":0.000157574,"domain_scores_codex":[0.9977359,0.00006892361,0.0002299275,0.001283044,0.0001535538,0.0005287205],"domain_scores_gemma":[0.9963638,0.00008715905,0.0004234297,0.00278073,0.0001081341,0.0002367966],"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":[0.0000822111,0.0002872383,0.01291243,0.0006724843,0.0006333664,0.003181352,0.00807579,0.267242,0.0003191315,0.6946726,0.01016794,0.001753441],"study_design_scores_gemma":[0.001042127,0.00008941151,0.001095349,0.0006943218,0.00005477082,0.00003444569,0.0002575532,0.9464417,0.0005095052,0.03960954,0.00878509,0.001386164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.358523,0.0001513507,0.6224676,0.0001020457,0.002685969,0.0003149509,0.00002585115,0.0006108698,0.01511838],"genre_scores_gemma":[0.9905187,0.0001410497,0.0009456975,0.0000536205,0.0001926793,0.000001250012,0.00001003457,0.00002638354,0.008110586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6791998,"threshold_uncertainty_score":0.9997994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509196111312988,"score_gpt":0.2157495655821126,"score_spread":0.06482995445081374,"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."}}