{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008010997,0.0006827169,0.0004035849,0.004508264,0.002569878,0.003725087,0.001290679,0.002159589,0.004866909],"category_scores_gemma":[0.05977337,0.0005669422,0.000596871,0.002908828,0.003064115,0.009628863,0.004532746,0.001728746,0.001624561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928505,"about_ca_system_score_gemma":0.002898907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008274426,"about_ca_topic_score_gemma":0.009683107,"domain_scores_codex":[0.993198,0.00174412,0.0005610334,0.0009933864,0.002935952,0.00056742],"domain_scores_gemma":[0.9539053,0.02404784,0.01041388,0.005051611,0.005194514,0.001386919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007586526,0.0003602261,0.2238566,0.00165117,0.0001720437,0.01272599,0.1149388,0.001588836,0.0183375,0.04151875,0.07428543,0.509806],"study_design_scores_gemma":[0.0001152087,0.0005886851,0.2191137,0.003597784,0.0004334995,0.02052498,0.06673034,0.02735127,0.04188892,0.06592689,0.5531591,0.0005695712],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492432,0.003245803,0.06747397,0.01884517,0.0005393619,0.0004232578,0.00187582,0.008800041,0.04955342],"genre_scores_gemma":[0.9391516,0.00113828,0.03551162,0.003528437,0.0002114617,0.0001277522,0.00175405,0.00136744,0.01720939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974301,"threshold_uncertainty_score":0.04236674,"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."}}