{"id":"W2920830346","doi":"10.3390/su11051487","title":"Quantitative Research on Global Terrorist Attacks and Terrorist Attack Classification","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Terrorism; Harm; Computer science; Computer security; Political science; Law","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":[0.00707861,0.0005488262,0.0003976405,0.007040456,0.0005276338,0.001973875,0.0004580465,0.0004205325,0.002378941],"category_scores_gemma":[0.03390101,0.0001303495,0.0006424197,0.01116283,0.00124989,0.003894499,0.0006253234,0.0006491551,0.0002195415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393133,"about_ca_system_score_gemma":0.001018547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398539,"about_ca_topic_score_gemma":0.003677948,"domain_scores_codex":[0.9918963,0.003350845,0.0007965341,0.001031445,0.002623685,0.0003011998],"domain_scores_gemma":[0.9526166,0.03254278,0.007312561,0.001734395,0.005220385,0.0005732359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370057,0.0002816974,0.5949649,0.001728347,0.0005109002,0.0001354093,0.004750828,0.01847548,0.001344522,0.07950611,0.006525147,0.2916396],"study_design_scores_gemma":[0.00001785113,0.0004325322,0.7740549,0.0009433336,0.0002963367,0.0004580556,0.02058342,0.09596473,0.002957246,0.06756939,0.03659225,0.0001300467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7216714,0.009048997,0.2006079,0.003646774,0.0003213994,0.0006174053,0.007342145,0.0001970154,0.05654699],"genre_scores_gemma":[0.9784179,0.001780926,0.0163407,0.00009839854,0.00008826868,0.0001783481,0.00170392,0.00001746118,0.001374119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00707861,"threshold_uncertainty_score":0.03743565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145077343974408,"score_gpt":0.5117117812194781,"score_spread":0.3666344372450702,"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."}}