{"id":"W4253035799","doi":"10.22215/timreview966","title":"License Compliance in Open Source Cybersecurity Projects","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"License; Compliance (psychology); Computer security; Open source; Computer science; MIT License; Business; Operating system; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009058663,0.0001947688,0.0003263878,0.000825102,0.00007231647,0.0001481867,0.002823896,0.00006923878,0.00004174218],"category_scores_gemma":[0.00006739912,0.0001353266,0.00002967745,0.005814422,0.00009903911,0.00138882,0.002325213,0.0001210038,0.0004025637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009127003,"about_ca_system_score_gemma":0.00001788151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000640327,"about_ca_topic_score_gemma":0.0000128292,"domain_scores_codex":[0.9981705,0.00003782473,0.0005855781,0.000625681,0.0002346198,0.0003458259],"domain_scores_gemma":[0.9984536,0.0000198463,0.0002786944,0.001097271,0.0001308593,0.00001974905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001243883,0.0000633996,0.0003719122,0.0003397368,0.00001180633,0.00001679466,0.000008823025,4.750514e-8,0.000009889424,0.6603339,0.006359983,0.3324825],"study_design_scores_gemma":[0.0007480432,0.00005204192,0.001120261,0.00423135,0.0000115637,0.000004976491,0.00001371172,0.0001004961,0.0001321585,0.1267439,0.8664927,0.0003487687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01284569,0.00880915,0.4386944,0.1436175,0.0006300664,0.01166509,0.000004747478,0.003273541,0.3804597],"genre_scores_gemma":[0.8511291,0.03866778,0.05380783,0.02409193,0.00005464302,0.001881575,0.00003023763,0.00006602982,0.03027088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8601328,"threshold_uncertainty_score":0.5518458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06166916947447511,"score_gpt":0.3181043839715426,"score_spread":0.2564352144970675,"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."}}