{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02526716,0.0002452593,0.0005633104,0.006866408,0.0006389995,0.003137292,0.001290838,0.001647415,0.005522923],"category_scores_gemma":[0.09120858,0.0002655542,0.0004460961,0.008404946,0.00199315,0.003864371,0.001985517,0.001406165,0.0005666408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002896549,"about_ca_system_score_gemma":0.006488033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005868353,"about_ca_topic_score_gemma":0.006519243,"domain_scores_codex":[0.9619133,0.01015085,0.00360508,0.001950746,0.02110786,0.001272214],"domain_scores_gemma":[0.8527856,0.06459,0.04499257,0.003414076,0.03168047,0.002537312],"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":[0.0001557811,0.0001671201,0.02724997,0.008496035,0.000203264,0.000246156,0.001353582,0.0009639804,0.0005424498,0.02744619,0.03179689,0.9013786],"study_design_scores_gemma":[0.0001233033,0.0007944318,0.2288416,0.03830289,0.0004631854,0.001840511,0.002996349,0.00124966,0.003865077,0.02287873,0.6985043,0.0001399461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07317474,0.7877281,0.005029099,0.03022093,0.001287119,0.0001699614,0.0008699109,0.0001229295,0.1013972],"genre_scores_gemma":[0.5409019,0.4379587,0.002932643,0.005292559,0.001262324,0.0002516335,0.001390391,0.00007435188,0.009935462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02526716,"threshold_uncertainty_score":0.1336271,"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."}}