{"id":"W2900584507","doi":"10.1093/oso/9780198831990.001.0001","title":"Public Inquiries, Policy Learning, and the Threat of Future Crises","year":2018,"lang":"en","type":"book","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Vulnerability (computing); Scholarship; Policy learning; Resilience (materials science); Political science; Psychological resilience; State (computer science); Public policy; Public relations; Psychology; Social psychology; Law; Computer security; Computer science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005797017,0.0001330117,0.0002250462,0.0001196869,0.0004786792,0.0001963773,0.0004607313,0.0001716624,0.0009773917],"category_scores_gemma":[0.0002002342,0.00007359893,0.00007239812,0.0001554039,0.007089866,0.0001593615,0.0002398235,0.0001564443,0.00003525156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559119,"about_ca_system_score_gemma":0.0004732527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005273761,"about_ca_topic_score_gemma":0.001809548,"domain_scores_codex":[0.9988429,0.0001654066,0.000154419,0.0001960154,0.0004140563,0.0002271984],"domain_scores_gemma":[0.9993769,0.0001218804,0.0001649198,0.0001601616,0.0001128236,0.00006331845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006314296,0.000004408485,0.0001603006,0.00002226231,0.00002387805,2.604359e-7,0.006957275,2.226478e-8,3.97864e-8,0.7492888,0.2365547,0.006981719],"study_design_scores_gemma":[0.0001671933,0.0000246536,0.00004584955,0.00002181348,0.00002624131,1.42694e-7,0.009310513,8.267325e-7,2.404731e-7,0.03235367,0.9579565,0.00009235661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004989706,0.001297752,0.00002938146,0.009817468,0.0002728614,0.0002525434,0.000001573598,0.00004574424,0.9882328],"genre_scores_gemma":[0.003319864,0.004163775,0.00001816891,0.0002682524,0.002434444,0.000005386021,0.000005423006,0.000009978901,0.9897747],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7214018,"threshold_uncertainty_score":0.9999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740189535350193,"score_gpt":0.3161324194019297,"score_spread":0.2787305240484277,"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."}}