{"id":"W4285413543","doi":"10.4095/330295","title":"Social vulnerability to natural hazards in Canada","year":2022,"lang":"en","type":"report","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Vulnerability (computing); Geography; Hazard; Context (archaeology); Natural hazard; Social vulnerability; Population; Metropolitan area; Social connectedness; Social capital; Human settlement; Psychological resilience; Political science; Psychology; Sociology; Demography; Social psychology; Ecology; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080601,0.0003027545,0.000345051,0.001989809,0.0107174,0.002534353,0.001174958,0.0004192087,0.003307317],"category_scores_gemma":[0.001774242,0.0002122076,0.0003566793,0.003972036,0.002009011,0.000493673,0.002783892,0.0006906711,0.0001936891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08393327,"about_ca_system_score_gemma":0.1088659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988945,"about_ca_topic_score_gemma":0.99949,"domain_scores_codex":[0.9990207,0.00006155021,0.00002599979,0.0000895798,0.0003625722,0.0004396898],"domain_scores_gemma":[0.9985366,0.00007262193,0.0001559843,0.00003017581,0.0005937761,0.0006109682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001167761,0.0001479484,0.8570574,0.0001535739,0.00008915139,0.001186179,0.05628285,0.001599284,0.00079583,0.007441022,0.01163384,0.06349616],"study_design_scores_gemma":[0.00001428829,0.00006749886,0.894568,0.0001961441,0.00003509892,0.000293862,0.07724644,0.00171301,0.0002187297,0.001595337,0.02396011,0.00009155408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812222,0.0007336657,0.0002184677,0.001770433,0.00002750928,0.00007784537,0.001250263,0.00001553843,0.01468412],"genre_scores_gemma":[0.995106,0.0007474961,0.0002125909,0.0001796701,0.000005031256,0.00001728508,0.0003505362,0.000004806996,0.003376692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08393327,"threshold_uncertainty_score":0.6089814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570469378254797,"score_gpt":0.3595990377815997,"score_spread":0.3238943439990518,"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."}}