{"id":"W4291278582","doi":"10.1016/j.tfp.2022.100315","title":"Agroforestry systems and their impact on livelihood improvement of tribal farmers in a tropical moist deciduous forest in Bangladesh","year":2022,"lang":"en","type":"article","venue":"Trees Forests and People","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Livelihood; Agroforestry; Geography; Reforestation; Business; Agriculture; 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":[0.0003893072,0.0001748583,0.0001510863,0.0004824065,0.001087067,0.0007049388,0.0002299781,0.0001986074,0.001638467],"category_scores_gemma":[0.0009981428,0.00009001056,0.00009429063,0.000724485,0.0006655739,0.0004336825,0.0006538015,0.0001798367,0.0001626317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007250212,"about_ca_system_score_gemma":0.0005315826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156664,"about_ca_topic_score_gemma":0.05383586,"domain_scores_codex":[0.9995587,0.0002068841,0.0000291046,0.00003644298,0.00004336577,0.0001254768],"domain_scores_gemma":[0.9993815,0.0001200163,0.0002016239,0.00002660658,0.00007381665,0.0001963266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001381782,0.000161905,0.9222836,0.0001356379,0.00004083999,0.002270641,0.04052792,0.0001426114,0.004326444,0.0003760717,0.0002263562,0.02936973],"study_design_scores_gemma":[0.000008672366,0.000227417,0.8996348,0.0000489611,0.0000172163,0.0006158326,0.0971479,0.0001545092,0.0001659226,0.0001635984,0.001801647,0.00001342726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991195,0.0001200438,0.0000165396,0.00006021597,8.499047e-7,0.000004635672,0.00001998246,3.801966e-7,0.0006578516],"genre_scores_gemma":[0.9997285,0.0001130106,0.00002745333,0.00001181427,7.375127e-7,0.00000245558,0.000009075477,1.763644e-7,0.0001068262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156664,"threshold_uncertainty_score":0.0311504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007680364950281912,"score_gpt":0.2015383256339253,"score_spread":0.1938579606836434,"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."}}