{"id":"W4407562700","doi":"10.2139/ssrn.5137053","title":"International Source Code Secrecy and the Characterization of Intellectual Property as National Security","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Secrecy; Intellectual property; Characterization (materials science); National security; Computer security; Property (philosophy); Code (set theory); Law and economics; Business; Computer science; Political science; Law; Nanotechnology; Sociology; Programming language; Materials science; Epistemology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.005945317,0.0002895021,0.0006758345,0.006348702,0.003173642,0.01300438,0.001045873,0.002713864,0.006576519],"category_scores_gemma":[0.03944883,0.0003199238,0.00101053,0.007576986,0.02269433,0.0171532,0.003642633,0.004796157,0.0008484469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004837899,"about_ca_system_score_gemma":0.003480479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516609,"about_ca_topic_score_gemma":0.002193009,"domain_scores_codex":[0.9933129,0.002585855,0.0005339959,0.001081705,0.001827002,0.000658453],"domain_scores_gemma":[0.9409621,0.03134387,0.007744265,0.01366904,0.005074183,0.00120658],"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":[0.000006454246,0.000002737812,0.0003614181,0.000008264259,0.000002873159,0.00001309663,0.0002458164,0.000180993,0.00005001351,0.9969196,0.0004390578,0.001769777],"study_design_scores_gemma":[0.000003333319,0.00000589544,0.0006523778,0.00004770479,0.000008665867,0.00007483098,0.0002774095,0.002582056,0.0003471679,0.9893662,0.006623515,0.00001080968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1548646,0.004682583,0.1591581,0.02752352,0.0005492943,0.00005999049,0.001028231,0.0003825287,0.6517512],"genre_scores_gemma":[0.9863207,0.0009427836,0.005859658,0.0005356161,0.0003504452,0.00004043907,0.0001904988,0.0001045327,0.005655302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01300438,"threshold_uncertainty_score":0.03510159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192032618593966,"score_gpt":0.2389344081960813,"score_spread":0.2270140820101416,"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."}}