{"id":"W2982135263","doi":"10.5539/ass.v15n11p105","title":"Unabated Cyber Terrorism and Human Security in Nigeria","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Preparedness; Human security; Government (linguistics); The Internet; Information and Communications Technology; Computer security; Political science; Business; Public relations; Economic growth; Law; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007304198,0.0001368109,0.0001206379,0.0006193332,0.003622308,0.002504699,0.0001155673,0.0005941679,0.002098049],"category_scores_gemma":[0.00100503,0.0001386582,0.00008418577,0.0006664669,0.003057921,0.001295123,0.001278055,0.0008895941,0.00008716837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136869,"about_ca_system_score_gemma":0.003351387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006658717,"about_ca_topic_score_gemma":0.01799059,"domain_scores_codex":[0.9994155,0.0003199529,0.00003330426,0.00003672515,0.00007544263,0.0001191034],"domain_scores_gemma":[0.9991122,0.0003658697,0.0003005464,0.00002106865,0.00007628424,0.0001240801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001331087,0.0002847947,0.2669802,0.001237352,0.0000193016,0.005917015,0.4941978,0.0003514664,0.002144483,0.138036,0.005544997,0.08515342],"study_design_scores_gemma":[0.000005463298,0.00009105984,0.1460189,0.00147502,0.00001404567,0.001637175,0.7911516,0.000281801,0.0004820112,0.008792714,0.05002902,0.00002128021],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469975,0.006746538,0.0002159305,0.005923771,0.000139365,0.00002421405,0.00002071839,0.000001808922,0.0399302],"genre_scores_gemma":[0.9959818,0.002590452,0.00005448496,0.0002106748,0.000009235897,0.000004637174,0.000004087596,6.678533e-7,0.001143948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006658717,"threshold_uncertainty_score":0.01550418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124988476787082,"score_gpt":0.3181860305348139,"score_spread":0.3069361457669431,"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."}}