{"id":"W1967009460","doi":"10.3763/cdev.2009.0001","title":"Adaptation and development: Livelihoods and climate change in Subarnabad, Bangladesh","year":2009,"lang":"en","type":"article","venue":"Climate and Development","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Livelihood; Climate change adaptation; Adaptation (eye); Climate change; Geography; Environmental resource management; Political science; Environmental planning; Natural resource economics; Development economics; Environmental science; Economics; Agriculture; Ecology; Psychology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000317603,0.0002550185,0.0002537677,0.00004216296,0.000306318,0.0001489701,0.00007610361,0.0001365814,0.00005966344],"category_scores_gemma":[0.00001685008,0.0001134558,0.00001303129,0.0001936919,0.0000369193,0.00029171,0.0001251045,0.0001156198,0.00001777104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004780855,"about_ca_system_score_gemma":0.000009941306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003137954,"about_ca_topic_score_gemma":0.001476935,"domain_scores_codex":[0.9985149,0.0000351723,0.0003299114,0.000411748,0.0001686575,0.0005396191],"domain_scores_gemma":[0.9995574,0.00006027875,0.0000975711,0.00003378685,0.00004147284,0.0002094743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005348678,0.0001015589,0.08710399,0.00006301342,0.000006733153,0.00002333626,0.008311018,1.777713e-7,0.005672369,0.0001442107,0.00003824089,0.8984818],"study_design_scores_gemma":[0.0003734059,0.0001197485,0.9866408,0.0001377115,0.000004383138,0.00003494436,0.002219024,0.00003136252,0.0005460734,0.00003167111,0.009532041,0.000328797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961277,0.001898226,6.451413e-7,0.001137081,0.00004115601,0.0003489256,0.00001985282,0.00006570805,0.0003607697],"genre_scores_gemma":[0.9896272,0.007722778,0.001415455,0.0009331434,0.00007581041,0.00004091536,0.0001703752,0.000001993358,0.00001230324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8995368,"threshold_uncertainty_score":0.4626593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282936373888413,"score_gpt":0.2538187102931525,"score_spread":0.1909893465542684,"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."}}