{"id":"W4406079355","doi":"10.1016/j.ijdrr.2025.105182","title":"Farmers' flood adaptation strategies in the Mohana–Khutiya and East Rapti River Basins in the Chure–Terai region of Nepal","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Tribhuvan University","keywords":"Flood myth; Water resource management; Geography; Adaptation (eye); Socioeconomics; Environmental planning; Environmental science; Archaeology; Sociology; 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":[0.0003041774,0.0001353855,0.0001625272,0.0005754615,0.001807337,0.001038298,0.0005425856,0.0004091115,0.001490062],"category_scores_gemma":[0.0009516022,0.0001734014,0.000151855,0.0009321203,0.001133773,0.0006052852,0.001366211,0.0003118746,0.0001220488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176757,"about_ca_system_score_gemma":0.00174583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03739046,"about_ca_topic_score_gemma":0.124624,"domain_scores_codex":[0.9997302,0.00009708973,0.0000138442,0.00003080258,0.00001727193,0.000110834],"domain_scores_gemma":[0.9996461,0.0001115073,0.00008625716,0.00001392189,0.00004692114,0.00009523508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003446437,0.0003465847,0.7293391,0.0001986154,0.000108751,0.006842018,0.2115156,0.001712215,0.01331558,0.003818973,0.001002066,0.03145584],"study_design_scores_gemma":[0.00001521977,0.000124475,0.8107792,0.00004312775,0.00002654397,0.0005381351,0.184128,0.0008271424,0.0003887028,0.0005637994,0.002545417,0.00002032253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988206,0.00002190828,0.00002598997,0.00008875589,7.850522e-7,0.000008073293,0.00001701171,0.000001115907,0.0010156],"genre_scores_gemma":[0.9995143,0.0000313883,0.0000407892,0.00001597561,5.357953e-7,0.00001005976,0.00001225527,5.516216e-7,0.0003741355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03739046,"threshold_uncertainty_score":0.07434565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279855220985467,"score_gpt":0.2637330280348755,"score_spread":0.2357475059363288,"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."}}