{"id":"W4281764732","doi":"10.1016/j.heliyon.2022.e09695","title":"What affects farmers in choosing better agroforestry practice as a strategy of climate change adaptation? An experience from the mid-hills of Nepal","year":2022,"lang":"en","type":"article","venue":"Heliyon","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livelihood; Climate change; Agriculture; Habit; Agroforestry; Geography; Production (economics); Adaptation (eye); Socioeconomics; Business; Environmental resource management; Economics; Environmental science; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009546707,0.0001564796,0.0001670897,0.0002908144,0.002889294,0.00169784,0.0004892421,0.0005913084,0.001623513],"category_scores_gemma":[0.002402981,0.0001953602,0.0001236035,0.0004591809,0.001434287,0.001207277,0.001310472,0.0006404543,0.0001740657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000922824,"about_ca_system_score_gemma":0.0009664113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01480928,"about_ca_topic_score_gemma":0.03570738,"domain_scores_codex":[0.9993912,0.0003118973,0.00002217181,0.00005269133,0.0000547359,0.0001673185],"domain_scores_gemma":[0.9988925,0.0005697743,0.0001678314,0.0000322453,0.000116093,0.0002216408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007257865,0.0002345971,0.1381398,0.0001455577,0.00001591668,0.004985086,0.833278,0.0001039842,0.003057129,0.0005277619,0.0006927224,0.01874685],"study_design_scores_gemma":[0.000006294887,0.0001907946,0.08277635,0.00004767174,0.00001029745,0.0007651827,0.9098612,0.0001390489,0.0003241681,0.0001519548,0.005707952,0.00001902161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984433,0.00005848925,0.00003860878,0.0002893583,0.000002129399,0.000007334639,0.000009160215,0.000001115686,0.001150509],"genre_scores_gemma":[0.9990061,0.0001700629,0.00008868259,0.0001173596,0.000001898673,0.00001052384,0.000006733525,0.000001192407,0.0005974885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01480928,"threshold_uncertainty_score":0.02944618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06300493669533329,"score_gpt":0.3017109117426489,"score_spread":0.2387059750473156,"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."}}