{"id":"W4408059216","doi":"10.1016/j.futures.2025.103570","title":"Gender-responsive disaster risk reduction strategy at the community level: A qualitative approach to analyze coastal communities in Bangladesh","year":2025,"lang":"en","type":"article","venue":"Futures","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Disaster risk reduction; Reduction (mathematics); Environmental planning; Socioeconomics; Geography; Environmental health; Political science; Economic growth; Sociology; Economics; Medicine","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":[0.006714363,0.0003200373,0.000301513,0.0009215943,0.008998776,0.002255741,0.001114398,0.0009728608,0.004386725],"category_scores_gemma":[0.007200173,0.0002825912,0.0001891732,0.001452402,0.005097818,0.002015472,0.004119938,0.001433189,0.0001886343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007919244,"about_ca_system_score_gemma":0.01115974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02832975,"about_ca_topic_score_gemma":0.06736676,"domain_scores_codex":[0.995978,0.002996286,0.00006216582,0.0001553977,0.0002120805,0.0005960417],"domain_scores_gemma":[0.9946362,0.00377531,0.0003970266,0.0001372543,0.000584354,0.0004699067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004399406,0.0001198778,0.01009834,0.0001577564,0.000005750373,0.0005837587,0.9724258,0.0001808067,0.000945768,0.005620204,0.0008113844,0.009006569],"study_design_scores_gemma":[0.000002795779,0.00003009084,0.001921466,0.00004825554,0.000002466428,0.00003698138,0.9945915,0.00005825272,0.0001347741,0.0006361334,0.002532345,0.000004929153],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849023,0.0001503302,0.002290919,0.002416066,0.00002864682,0.0003628723,0.0001836064,0.000005021202,0.009660265],"genre_scores_gemma":[0.996068,0.0001463774,0.001147678,0.0003527224,0.000004114016,0.0003793955,0.00002973685,0.000004516346,0.001867459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02832975,"threshold_uncertainty_score":0.05745834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08960476475381418,"score_gpt":0.3787466164886378,"score_spread":0.2891418517348236,"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."}}