{"id":"W2894717731","doi":"10.1111/risa.13203","title":"Terrorism Risk Assessment, Recollection Bias, and Public Support for Counterterrorism Policy and Spending","year":2018,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"National Science Foundation","keywords":"Terrorism; Socioeconomic status; Context (archaeology); Politics; Recall; Public policy; Phenomenon; Political science; Construct (python library); Psychology; Public economics; Survey data collection; Social psychology; Economics; Sociology; Population; Cognitive psychology; Geography; Law; Demography; Computer science; Statistics","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":[0.01847585,0.0003161073,0.0003583162,0.001498099,0.0007191344,0.001700072,0.000618005,0.0005809119,0.002972382],"category_scores_gemma":[0.09242119,0.0002036313,0.0006496369,0.001450979,0.001114822,0.001609717,0.001279637,0.0009418632,0.000243637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008039794,"about_ca_system_score_gemma":0.001015464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006372565,"about_ca_topic_score_gemma":0.008004823,"domain_scores_codex":[0.9858229,0.008929444,0.001392131,0.001057478,0.002186254,0.0006119043],"domain_scores_gemma":[0.826934,0.08178274,0.07015073,0.01320079,0.006253834,0.001677962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093926,0.00008578867,0.9794815,0.00007975576,0.0001377825,0.00003695507,0.00355749,0.0002090234,0.0001375189,0.0007098615,0.000273622,0.0151812],"study_design_scores_gemma":[0.000004802076,0.00009602585,0.9935185,0.00006057014,0.00003830588,0.00009352978,0.003380515,0.0007243802,0.0002714733,0.0009492848,0.000842893,0.00001959326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904684,0.0004086026,0.003853323,0.000576101,0.00002032254,0.00009032785,0.0002547094,0.00001270836,0.004315552],"genre_scores_gemma":[0.9982246,0.00009705286,0.001120437,0.0001046337,0.00001942303,0.00005925434,0.0001291663,0.000003241497,0.0002422434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847585,"threshold_uncertainty_score":0.09771079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05018293305973505,"score_gpt":0.3886145489606189,"score_spread":0.3384316159008839,"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."}}