{"id":"W4220720076","doi":"10.1080/14693062.2022.2048784","title":"Disaster risk reduction and climate policy implementation challenges in Canada and Australia","year":2022,"lang":"en","type":"article","venue":"Climate Policy","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Brock University","funders":"Australian Research Council; Department of Industry and Science, Australian Government","keywords":"Disaster risk reduction; Risk governance; Corporate governance; Risk management; Preparedness; Environmental planning; Environmental resource management; Stakeholder; Climate change; Business; Emergency management; Climate risk; Government (linguistics); Political science; Economic growth; Public relations; Economics; Geography; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004540135,0.00009383089,0.0001071613,0.0001915365,0.000613073,0.00006777961,0.0001155599,0.00001753784,0.0001296894],"category_scores_gemma":[0.00002239728,0.00009799951,0.00001393887,0.0003042098,0.0001183524,0.0002273536,0.0002460912,0.00009551927,0.000003150658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004807052,"about_ca_system_score_gemma":0.0002485436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9630144,"about_ca_topic_score_gemma":0.9744401,"domain_scores_codex":[0.9986299,0.0002256517,0.0001814295,0.0002413777,0.0002380534,0.0004835834],"domain_scores_gemma":[0.999667,0.00002352263,0.0001026785,0.0001007037,0.000009901507,0.000096126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006275569,0.00007139476,0.4727306,0.000183617,0.00002730168,0.0000148922,0.1126961,0.0000880585,0.0001331933,0.2364573,0.001374787,0.1761599],"study_design_scores_gemma":[0.0005520804,0.00005954381,0.6960837,0.00001236816,0.00001850682,0.000004804539,0.2776982,0.00002731343,0.00001021703,0.002630298,0.02266266,0.0002403809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854701,0.0001591776,1.527701e-7,0.006122191,0.0001517599,0.0002386315,0.00007484173,0.00001670133,0.007766455],"genre_scores_gemma":[0.9910198,0.008355979,0.00001223193,0.0001021774,0.0002029653,0.00004200741,0.000009726641,0.000007491955,0.000247571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.233827,"threshold_uncertainty_score":0.4715324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04734441496226064,"score_gpt":0.361786833656159,"score_spread":0.3144424186938983,"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."}}