{"id":"W4282552644","doi":"10.1111/jfr3.12824","title":"Good practice in risk analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Flood Risk Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Public relations; Parallels; Political science; Coronavirus disease 2019 (COVID-19); Sociology; History; Engineering; Operations management; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003723661,0.0001950051,0.0003664238,0.0006635382,0.0003187792,0.00006353462,0.0007228395,0.00002473852,0.002934128],"category_scores_gemma":[0.00006784387,0.0001758795,0.0003297382,0.002175214,0.00004118023,0.0005215089,0.001115073,0.000652458,0.00008390626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456618,"about_ca_system_score_gemma":0.00001039986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053931,"about_ca_topic_score_gemma":0.0004393486,"domain_scores_codex":[0.996462,0.0006871985,0.000778521,0.0003256836,0.00138164,0.000364956],"domain_scores_gemma":[0.9980577,0.0001303825,0.001265523,0.0004171257,0.00001647225,0.0001128424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000174093,0.00151246,0.2900486,0.000009693079,0.00257357,0.0006739643,0.0008804934,0.626222,0.000006759369,0.0006727086,0.01419935,0.06302638],"study_design_scores_gemma":[0.00269161,0.0007258459,0.4135222,0.000008180751,0.006719491,0.00002394338,0.007472259,0.007381859,0.00001477304,0.00188522,0.5591553,0.0003992781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7292475,0.001693009,0.01820064,0.002411568,0.00154169,0.001318228,0.00003938654,0.0000628921,0.2454851],"genre_scores_gemma":[0.9679564,0.005200035,0.02457636,0.0003604839,0.00006489494,0.00004252105,0.000004583088,0.00002207034,0.001772626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6188401,"threshold_uncertainty_score":0.9979773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003174001352879026,"score_gpt":0.2334224068001218,"score_spread":0.2302484054472428,"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."}}