{"id":"W4383497665","doi":"10.1016/j.ijdrr.2023.103851","title":"Climate change-triggered vulnerability assessment of the flood-prone communities in Bangladesh: A gender perspective","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Vulnerability (computing); Livelihood; Adaptive capacity; Social vulnerability; Vulnerability index; Flood myth; Climate change; Geography; Sanitation; Psychological intervention; Environmental planning; Vulnerability assessment; Socioeconomics; Flooding (psychology); Environmental resource management; Agriculture; Sociology; Psychology; Environmental science; Ecology","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":[0.0003988247,0.0002088291,0.0001595146,0.0008006655,0.0007481024,0.0007952925,0.0003356868,0.0004127165,0.00424864],"category_scores_gemma":[0.0009555767,0.0001143923,0.0002332735,0.001114634,0.0005707613,0.0008924659,0.0009933927,0.0003973819,0.0002231639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055787,"about_ca_system_score_gemma":0.001205637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03617283,"about_ca_topic_score_gemma":0.07889393,"domain_scores_codex":[0.9997638,0.00008092256,0.00000954847,0.00002377416,0.00003282617,0.00008917227],"domain_scores_gemma":[0.9996308,0.000105041,0.00009354264,0.00001256459,0.00008008852,0.00007793101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003404529,0.0002031125,0.8842591,0.0002342283,0.0001948298,0.003207033,0.02447505,0.0111691,0.005619017,0.02548845,0.004300024,0.04050957],"study_design_scores_gemma":[0.00001012312,0.0003364525,0.861493,0.000127579,0.00007482559,0.0008085219,0.1072076,0.01066432,0.0009325887,0.01069635,0.007578907,0.00006980455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873927,0.0001814721,0.0004925944,0.0009893281,0.000009861461,0.00002056238,0.0006102269,0.000003393623,0.01029987],"genre_scores_gemma":[0.9992563,0.0001080207,0.00008106605,0.00002242567,0.00000245513,0.000008158845,0.00005519753,7.920046e-7,0.0004655294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03617283,"threshold_uncertainty_score":0.07192457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03735379625411954,"score_gpt":0.3319799852500198,"score_spread":0.2946261889959002,"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."}}