{"id":"W2540359365","doi":"10.1017/s1867299x00002907","title":"Incorporating Social Sciences in Public Risk Assessment and Risk Management Organisations","year":2014,"lang":"en","type":"article","venue":"European Journal of Risk Regulation","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Social risk; Public relations; Risk management; Set (abstract data type); Political science; Social science; Sociology; Business; Actuarial science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01191655,0.00009026618,0.0001345092,0.000373571,0.001425834,0.0003389148,0.0002123213,0.00002211355,0.00007557363],"category_scores_gemma":[0.0003194624,0.00008215727,0.0000506485,0.0004982759,0.0002878273,0.0005858595,0.00007318983,0.0002239812,0.00001367218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618682,"about_ca_system_score_gemma":0.00005504632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001733559,"about_ca_topic_score_gemma":0.0005389054,"domain_scores_codex":[0.9952556,0.003366979,0.0004769228,0.0001647297,0.0005561901,0.0001795734],"domain_scores_gemma":[0.9985315,0.000110132,0.001084954,0.00007917164,0.0001283415,0.00006594674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000008023872,0.00006845192,0.4051781,0.000005494827,0.00003173954,0.0000039037,0.01191054,0.001291521,0.00001241955,0.08454449,0.001215626,0.4957297],"study_design_scores_gemma":[0.0005503054,0.00006940216,0.9504679,0.00001842452,0.0000505474,9.102154e-7,0.006499031,0.001529004,6.871433e-7,0.009858648,0.03085857,0.00009651919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590166,0.0000275755,0.05537924,0.001647411,0.0002583291,0.0001781863,0.000002646626,0.00003038643,0.08345961],"genre_scores_gemma":[0.981874,0.001242742,0.01636212,0.00004425555,0.0003594371,8.620142e-7,0.000001587284,0.0000102855,0.0001046834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5452899,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787993358440529,"score_gpt":0.3185313405426037,"score_spread":0.2806514069581985,"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."}}