{"id":"W3188656594","doi":"10.1079/9781789247053.0016","title":"Gender mainstreaming in climate change adaptation strategies in Bangladesh and Nepal.","year":2021,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Gender mainstreaming; Mainstreaming; Climate change; Political science; Adaptation (eye); Geography; South asia; Economic growth; Development economics; Environmental planning; Socioeconomics; Gender equality; Sociology; Gender studies; Psychology; Economics; 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":[0.001745455,0.0004533519,0.0002676657,0.0007116745,0.002065913,0.004457088,0.0005610416,0.001077236,0.006780844],"category_scores_gemma":[0.00137478,0.0001896852,0.0001895968,0.001301417,0.004450333,0.003694884,0.002513866,0.002280634,0.001057094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003050294,"about_ca_system_score_gemma":0.003924417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005536459,"about_ca_topic_score_gemma":0.01486317,"domain_scores_codex":[0.9993423,0.0003098628,0.00002412616,0.00005541812,0.0001922005,0.00007613324],"domain_scores_gemma":[0.999506,0.0003519104,0.00002715694,0.00001819991,0.00005885118,0.000037821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000245331,0.00004061941,0.0007206926,0.001879057,0.00001233595,0.0008195861,0.09892858,0.0002589492,0.0008579369,0.5611315,0.04980774,0.2855185],"study_design_scores_gemma":[0.000002419428,0.00001938482,0.0008907171,0.001184858,0.000005011736,0.00042106,0.02218888,0.00006023241,0.0003334568,0.02656147,0.9483232,0.000009367272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01698934,0.2565304,0.003591242,0.03141094,0.001965667,0.0001192439,0.00009258901,0.0000506102,0.68925],"genre_scores_gemma":[0.2917909,0.341253,0.004928894,0.01303666,0.0007094839,0.0003786678,0.0001839671,0.000116584,0.3476018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006780844,"threshold_uncertainty_score":0.02268416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17953666506201,"score_gpt":0.3119064898011001,"score_spread":0.1323698247390901,"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."}}