{"id":"W3009459297","doi":"10.5430/rwe.v11n1p130","title":"Factors Affecting the Incomes of Peasant Households Affected by Climate Change in Tra Vinh Province, Viet Nam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trường Đại học Trà Vinh","keywords":"Viet nam; Geography; Peasant; Agriculture; Socioeconomics; Climate change; Work (physics); Economic growth; Agricultural economics; Economics; Economy; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001916442,0.000121834,0.00008144737,0.0002723857,0.0007122481,0.0004396453,0.0001211954,0.0001196909,0.001514946],"category_scores_gemma":[0.0006063302,0.00006846125,0.0001132371,0.0005634309,0.0002245416,0.0001895666,0.0002662371,0.0001715678,0.00007266187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000940506,"about_ca_system_score_gemma":0.0005477901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05497194,"about_ca_topic_score_gemma":0.09280967,"domain_scores_codex":[0.9998679,0.00004167322,0.000005634604,0.0000120461,0.00001531264,0.000057503],"domain_scores_gemma":[0.9997604,0.0000533503,0.00006281413,0.000007984216,0.00004201229,0.00007335393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000308337,0.0000353873,0.9842049,0.000027115,0.00001793935,0.0006022198,0.00762923,0.0001701692,0.0004788142,0.0001621129,0.0003863477,0.006254847],"study_design_scores_gemma":[0.000001032605,0.00002273096,0.9785549,0.00001293287,0.000004023837,0.0000797857,0.02025308,0.0001432576,0.00006319296,0.00005176952,0.0008106892,0.000002638223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992861,0.00002594882,0.00001507179,0.00005326628,0.000001262786,0.000002802296,0.00005844625,5.141724e-7,0.0005565663],"genre_scores_gemma":[0.9997119,0.00002688882,0.00001885231,0.000008781407,8.792212e-7,0.000003915904,0.00003259802,2.295873e-7,0.0001959614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05497194,"threshold_uncertainty_score":0.109304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1876855890970035,"score_gpt":0.3689329651165104,"score_spread":0.1812473760195069,"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."}}