{"id":"W4319984274","doi":"10.1108/ijdrbe-04-2022-0032","title":"Scoping review: understanding the barriers and drivers of risk management in local governments","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; École Nationale d'Administration Publique","funders":"","keywords":"Risk management; Context (archaeology); Scholarship; Originality; Identification (biology); Public relations; Strengths and weaknesses; Political science; Politics; Business; Knowledge management; Sociology; Psychology; Computer science; Qualitative research; Social science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04750469,0.001041068,0.002412903,0.02503135,0.002973949,0.01052042,0.001984022,0.003509874,0.003244791],"category_scores_gemma":[0.1635622,0.0007681388,0.002348786,0.0234206,0.003383077,0.008913132,0.004172039,0.002311915,0.0005973476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007001086,"about_ca_system_score_gemma":0.04583845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165357,"about_ca_topic_score_gemma":0.01824051,"domain_scores_codex":[0.9609728,0.02222631,0.008313924,0.001517322,0.005891369,0.001078377],"domain_scores_gemma":[0.7775928,0.1682832,0.01624694,0.004394639,0.03165414,0.001828141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000221466,0.0001267309,0.01714532,0.4465636,0.002684157,0.001771867,0.03210465,0.001715444,0.0007686966,0.03782871,0.02647707,0.4325923],"study_design_scores_gemma":[0.00002630516,0.0001249607,0.01369168,0.8022526,0.003221784,0.0008956267,0.0409539,0.0005779435,0.0006139002,0.01195064,0.1256133,0.00007749889],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0184273,0.9394689,0.004416245,0.01912965,0.001266223,0.001463888,0.0007204871,0.00004469088,0.0150626],"genre_scores_gemma":[0.1503575,0.8364996,0.005455489,0.003216644,0.000468058,0.001992821,0.0006152982,0.00003221968,0.001362536],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04750469,"threshold_uncertainty_score":0.2512318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439095041675166,"score_gpt":0.3182568509215935,"score_spread":0.2938659005048418,"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."}}