{"id":"W3198825899","doi":"10.1109/mts.2021.3101832","title":"Can Open Source Licenses Help Regulate Lethal Autonomous Weapons?","year":2021,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer security; Open source; Engineering; Internet privacy; Computer science; Business; Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661796,0.0002073209,0.0003249578,0.00005963111,0.0004239966,0.000238818,0.001194087,0.0003789222,0.0001039302],"category_scores_gemma":[0.00008169319,0.0001801612,0.0001069778,0.0007729919,0.0006333138,0.0003070718,0.001103094,0.0004082676,0.0001011924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004984057,"about_ca_system_score_gemma":0.0002038577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002628649,"about_ca_topic_score_gemma":0.00003163816,"domain_scores_codex":[0.9984553,0.00006216751,0.0002407902,0.0006708868,0.0001297759,0.0004410938],"domain_scores_gemma":[0.99883,0.00007191609,0.00007419732,0.0007790148,0.0001519777,0.00009291039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003164736,0.0004385711,0.0004587121,0.00009775637,0.0003936551,0.0002707807,0.008071067,0.00004433822,0.1325757,0.1523243,0.5543045,0.1509891],"study_design_scores_gemma":[0.001828247,0.0005825472,0.0006600996,0.0000711963,0.00005243933,0.001276353,0.0008793637,0.03174534,0.1888772,0.03652301,0.7364137,0.001090468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4782181,0.004091414,0.2299456,0.2455203,0.002160273,0.001029729,0.00002707941,0.003677407,0.03533015],"genre_scores_gemma":[0.9120821,0.0005127259,0.02356721,0.003769469,0.0001753236,0.00003214847,0.000006055852,0.00002868766,0.05982631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4338639,"threshold_uncertainty_score":0.734676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868277345690154,"score_gpt":0.2421543889848884,"score_spread":0.2234716155279869,"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."}}