{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001910279,0.0001291729,0.0002555575,0.0008660404,0.001644744,0.000437523,0.0001185086,0.0000958334,0.0006699969],"category_scores_gemma":[0.0003762081,0.0001225941,0.0001469509,0.001322695,0.0002546735,0.0003994185,0.00005801226,0.0001006828,0.0000190965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277816,"about_ca_system_score_gemma":0.0000871692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02546741,"about_ca_topic_score_gemma":0.05180902,"domain_scores_codex":[0.998416,0.0003086788,0.0002555101,0.0003880619,0.0002741271,0.0003575907],"domain_scores_gemma":[0.9991057,0.0001121179,0.0002737954,0.0001880306,0.0001273911,0.0001929919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001848024,0.00007794007,0.8756667,0.000009730348,0.001117244,8.381667e-7,0.01280044,0.000004409251,0.00001651366,0.004581319,0.008223215,0.09748317],"study_design_scores_gemma":[0.0006797358,0.0001918564,0.4941771,0.000004835548,0.002063053,7.249145e-7,0.02023927,0.01444486,0.000003808829,0.003252861,0.4646156,0.0003263559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674235,0.00005085735,0.09230581,0.002739391,0.0004361618,0.0006627045,0.00009385612,0.0001587647,0.03612895],"genre_scores_gemma":[0.9857364,0.005027442,0.00164712,0.0001154292,0.0006345899,0.00003793715,0.00002484395,0.0000110031,0.006765269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4563923,"threshold_uncertainty_score":0.999655,"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."}}