{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004817349,0.0002863742,0.000244408,0.0006851635,0.002967509,0.001244957,0.0003546498,0.0006299032,0.003108667],"category_scores_gemma":[0.0009414941,0.0001360059,0.000130187,0.001652725,0.001510161,0.00117835,0.001422969,0.0004722583,0.0002692167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538358,"about_ca_system_score_gemma":0.001305188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05023331,"about_ca_topic_score_gemma":0.09053931,"domain_scores_codex":[0.9995202,0.0002458187,0.00001487081,0.00003895861,0.00003703109,0.0001431566],"domain_scores_gemma":[0.9995577,0.0001294112,0.0001097996,0.00001945489,0.00004952936,0.0001341184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002900679,0.0004046629,0.7870114,0.0002740048,0.00009028267,0.01233889,0.145575,0.001455035,0.004242507,0.007584683,0.002603682,0.03812988],"study_design_scores_gemma":[0.0000186966,0.0003956345,0.7581976,0.00008575318,0.00003152569,0.002218077,0.2255829,0.0007935273,0.0003834105,0.002747134,0.009502185,0.00004354393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944428,0.0002935912,0.00007719544,0.0006729319,0.000003377648,0.00001364519,0.00007215107,0.000002348673,0.004422044],"genre_scores_gemma":[0.999114,0.0003243043,0.00004176676,0.00004388253,0.000001923579,0.000009753919,0.00002162062,8.512353e-7,0.0004419959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05023331,"threshold_uncertainty_score":0.09988183,"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."}}