{"id":"W2246316383","doi":"","title":"Reverse Engineering of Software: Copyright and Interoperability","year":2003,"lang":"en","type":"article","venue":"Journal of Law Information & Science","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copying; Reverse engineering; Interoperability; Copyright infringement; Fair use; Software; Intellectual property; Legislation; Computer security; Computer science; Software engineering; Law; Law and economics; World Wide Web; Political science; Sociology; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01341899,0.000497258,0.0006279429,0.003335125,0.005729182,0.01627822,0.001878157,0.008984108,0.005722642],"category_scores_gemma":[0.03906759,0.0006111192,0.0009292437,0.003889589,0.03495803,0.02585971,0.009010988,0.006889779,0.001505269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004619411,"about_ca_system_score_gemma":0.006889308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006237924,"about_ca_topic_score_gemma":0.004308612,"domain_scores_codex":[0.9770641,0.007907869,0.001478261,0.00217435,0.009994629,0.001380766],"domain_scores_gemma":[0.9625594,0.01938345,0.002991306,0.00976154,0.004429046,0.0008751902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005546153,0.000009653964,0.0001770763,0.00003067678,0.000003534789,0.0001425298,0.0009773218,0.0002133881,0.000145221,0.9846745,0.001515532,0.01210513],"study_design_scores_gemma":[0.00001067501,0.00002496495,0.0004136241,0.0002282257,0.00001104756,0.0007114706,0.0008243005,0.001167357,0.0008497811,0.9104706,0.08525714,0.00003079548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03753469,0.01300729,0.254566,0.06077916,0.0008541887,0.0002546565,0.0001494129,0.0004961954,0.6323584],"genre_scores_gemma":[0.8028186,0.01289519,0.0755372,0.01494732,0.001279548,0.0005487492,0.000210542,0.0003068932,0.091456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01627822,"threshold_uncertainty_score":0.07096726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204076656530982,"score_gpt":0.2130410778655558,"score_spread":0.201000311300246,"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."}}