{"id":"W4311938462","doi":"10.1145/3571852","title":"Open Source License Inconsistencies on GitHub","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"License; Open source; Computer science; Source code; Open source software; MIT License; Code (set theory); Software; Computer security; World Wide Web; Software engineering; Database; Operating system; Programming language; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":false,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01092429,0.0006443592,0.0007469057,0.01717718,0.001663344,0.003451245,0.001589282,0.0007983913,0.002213851],"category_scores_gemma":[0.09689597,0.0006924846,0.0008396143,0.02775618,0.002479326,0.005005919,0.005356524,0.001525006,0.0008395251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002552102,"about_ca_system_score_gemma":0.002520727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465124,"about_ca_topic_score_gemma":0.0137861,"domain_scores_codex":[0.9701428,0.00501876,0.003164764,0.003642722,0.01625523,0.001775703],"domain_scores_gemma":[0.8951404,0.04626757,0.0220393,0.01414607,0.02087484,0.001531761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007142951,0.0002842956,0.7582278,0.001741281,0.0005220014,0.003811209,0.02134182,0.003893544,0.004926627,0.01440989,0.03152588,0.1586013],"study_design_scores_gemma":[0.00004090936,0.00008060055,0.8907267,0.0008229613,0.0002255502,0.003241875,0.008510874,0.01247421,0.006229718,0.008223357,0.06925046,0.0001727644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744829,0.001643118,0.007113569,0.0006340611,0.00008649211,0.0001549137,0.006149779,0.002738986,0.006996147],"genre_scores_gemma":[0.9597013,0.0006124329,0.01112327,0.0002793613,0.00005504875,0.0001831477,0.02328964,0.002045058,0.002710873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9984107,"threshold_uncertainty_score":0.05777383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002228302690652,"score_gpt":0.3142640616628286,"score_spread":0.2140412313937634,"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."}}