{"id":"W3022953349","doi":"","title":"Research into How Resources are Acquired, Moved and Used to Support Acts of Terrorism","year":2016,"lang":"en","type":"article","venue":"","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Terrorism; Political science; Computer security; Business; Public relations; Computer 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":[0.001435308,0.000212983,0.0002240183,0.001532303,0.001485089,0.003950712,0.0007769209,0.0009354625,0.006219247],"category_scores_gemma":[0.01078484,0.0003002683,0.0002290339,0.001452353,0.002826716,0.003881245,0.00136703,0.0009765495,0.0005251484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158227,"about_ca_system_score_gemma":0.002843786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308678,"about_ca_topic_score_gemma":0.02502889,"domain_scores_codex":[0.9980027,0.001180014,0.00006613445,0.0002053326,0.0001886867,0.0003571],"domain_scores_gemma":[0.9936975,0.0028584,0.001878882,0.0003994275,0.0006315465,0.0005344077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006976891,0.001721243,0.5800223,0.0009936808,0.0005429757,0.0008346213,0.0773947,0.002006667,0.00678235,0.08427478,0.004806135,0.2399229],"study_design_scores_gemma":[0.0000342899,0.0003020022,0.7445416,0.0008184823,0.0001269377,0.0004468473,0.1962389,0.001138618,0.002503845,0.02479601,0.02899352,0.00005899443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539206,0.001377825,0.0006778862,0.002914974,0.000040627,0.00001934629,0.00008919372,0.000006582301,0.040953],"genre_scores_gemma":[0.9962562,0.001173202,0.0003652047,0.0001790714,0.00001105181,0.00001230118,0.00003523951,0.000005394669,0.001962313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01308678,"threshold_uncertainty_score":0.02602118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09224816923343976,"score_gpt":0.3981080867405803,"score_spread":0.3058599175071405,"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."}}