{"id":"W4389236433","doi":"10.1108/dpm-07-2023-0156","title":"Categorising potential non-disasters","year":2023,"lang":"en","type":"article","venue":"Disaster Prevention and Management An International Journal","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Construct (python library); Vulnerability (computing); Disaster risk reduction; Hazard; Work (physics); Originality; Vulnerability assessment; Emergency management; Disaster research; Risk analysis (engineering); Computer science; Computer security; Geography; Engineering; Political science; Environmental planning; Business; Sociology; Psychology; Psychological resilience; Social psychology; Social science; Qualitative research","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":[],"consensus_categories":[],"category_scores_codex":[0.0007547215,0.0001144174,0.00009012439,0.0004065062,0.0005104613,0.0009784462,0.0005037056,0.00003870316,0.000262797],"category_scores_gemma":[0.000009714861,0.0001107597,0.00008914043,0.0002197822,0.0001329339,0.001412167,0.0002075842,0.00009858673,0.0001289568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005188585,"about_ca_system_score_gemma":0.00001963197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002898756,"about_ca_topic_score_gemma":0.00007992204,"domain_scores_codex":[0.998356,0.0001293206,0.0002537586,0.0002374482,0.0007195548,0.0003038711],"domain_scores_gemma":[0.9995105,0.00000900938,0.0001240328,0.0001069053,0.00008389774,0.000165706],"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":[0.0002555918,0.0005789741,0.01228603,0.00009115504,0.0009492143,0.0007979974,0.06136523,0.0008121764,0.000231547,0.1844284,0.03467013,0.7035335],"study_design_scores_gemma":[0.004811203,0.0002867277,0.1603447,0.0004280042,0.0002819029,0.00006334059,0.2707196,0.004917984,0.00002137395,0.05486713,0.5021168,0.001141252],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273361,0.0000237902,0.0174473,0.002926235,0.005082069,0.0004218023,0.000002791662,0.000173528,0.1465864],"genre_scores_gemma":[0.9523988,0.00130918,0.0003538843,0.0002629383,0.0007089886,0.00001273062,0.0000400958,0.00001351132,0.04489987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7023923,"threshold_uncertainty_score":0.9435179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976395425774747,"score_gpt":0.3493566151464736,"score_spread":0.3295926608887261,"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."}}