{"id":"W2992304890","doi":"10.21810/jicw.v2i2.1067","title":"CETA and Preserving Digital Society","year":2019,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Context (archaeology); Political science; Civil society; Public administration; International trade; Law; Business; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008314261,0.0000892555,0.0001742335,0.00002287048,0.0004221423,0.0001484517,0.0002757891,0.00005456723,0.000125688],"category_scores_gemma":[0.0001520373,0.00005710387,0.00007951024,0.0001086442,0.0004126253,0.000411893,0.0001341643,0.0002289318,0.000008978514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001710656,"about_ca_system_score_gemma":0.00005325608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002015657,"about_ca_topic_score_gemma":0.0001104362,"domain_scores_codex":[0.9991752,0.00006423781,0.0002203841,0.00007746964,0.0002749752,0.0001877534],"domain_scores_gemma":[0.9991256,0.0003423171,0.0001523723,0.00009613626,0.0001967681,0.00008682691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001528451,0.0000698548,0.05555598,0.0001034694,0.0003784756,0.000008320875,0.7983837,0.00003190714,0.0001901095,0.03400183,0.00639361,0.10473],"study_design_scores_gemma":[0.000232397,0.0002559066,0.00701397,0.000229447,0.00009052722,0.00006543769,0.4121522,0.0001132206,0.0003101281,0.006019978,0.5732315,0.0002853911],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623699,0.01242379,0.0002113451,0.005462246,0.0002873988,0.0001651112,0.000006015885,0.0000137878,0.01906043],"genre_scores_gemma":[0.9851021,0.01288867,0.00002367706,0.0002052494,0.0001522665,3.639331e-7,2.135031e-7,0.000004772249,0.001622647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5668378,"threshold_uncertainty_score":0.324682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595773827030738,"score_gpt":0.294263286492647,"score_spread":0.2683055482223397,"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."}}