{"id":"W4303021961","doi":"10.1108/dpm-06-2022-0135","title":"Potential non-disasters of 2021","year":2022,"lang":"en","type":"article","venue":"Disaster Prevention and Management An International Journal","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workers Compensation Board of Alberta","funders":"","keywords":"Hazard; Originality; Disaster risk reduction; Value (mathematics); Action (physics); Disaster research; Emergency management; Computer security; Forensic engineering; Risk analysis (engineering); Public relations; Political science; Psychology; Engineering; Computer science; Business; Environmental planning; Social psychology; Geography; Law; Economics; Management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007030366,0.00008344711,0.00009209579,0.0002625857,0.0004849691,0.0002324028,0.0005757787,0.00001584884,0.002227758],"category_scores_gemma":[0.000005130351,0.00008655812,0.00009654106,0.0001237109,0.000125946,0.0007243237,0.0003752203,0.0001075945,0.000006703915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005811442,"about_ca_system_score_gemma":0.00002435822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002876254,"about_ca_topic_score_gemma":0.00003644283,"domain_scores_codex":[0.9982886,0.0002156296,0.0002743111,0.0001787605,0.0008666103,0.0001760761],"domain_scores_gemma":[0.9995224,0.000006784711,0.000203124,0.00009995603,0.00007217054,0.00009554472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007250725,0.00236238,0.01982643,0.00008993166,0.001323689,0.0003518519,0.06957112,0.002104941,0.0004324721,0.2942888,0.01494592,0.5939774],"study_design_scores_gemma":[0.005012527,0.0007008372,0.06405792,0.0001572621,0.0002840285,0.0000691317,0.3689387,0.001572808,0.00002332973,0.02511455,0.5333412,0.0007277043],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330176,0.00005984477,0.01057935,0.001634377,0.00379822,0.0004326424,0.000009977567,0.0000204916,0.1504475],"genre_scores_gemma":[0.9747099,0.0004345984,0.0004541666,0.0001720606,0.000262763,0.00001882726,0.00002331569,0.000007470753,0.02391696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5932497,"threshold_uncertainty_score":0.9986843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082211318886017,"score_gpt":0.3122093505536402,"score_spread":0.3013872373647801,"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."}}