{"id":"W3112113733","doi":"10.5267/j.ac.2020.11.011","title":"Impact of land-acquisition induced resettlement policy on the ethnic household income in mountainous Vietnam","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Science and Technology Policy","keywords":"Ethnic group; Poverty; Income Support; Socioeconomics; Economic growth; Agriculture; Government (linguistics); Business; Sustainability; Household income; Geography; Political science; Economics","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":[0.0006600659,0.0001119125,0.0001390127,0.0002467812,0.0005602695,0.0006400241,0.0003553063,0.0001837623,0.004353957],"category_scores_gemma":[0.00233135,0.00005936221,0.000260418,0.0003697221,0.0003338907,0.0004544974,0.0007677616,0.0004809881,0.0001312294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988841,"about_ca_system_score_gemma":0.002273365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06300323,"about_ca_topic_score_gemma":0.07521778,"domain_scores_codex":[0.999346,0.0003176878,0.00002165235,0.00004597102,0.00005850351,0.00021014],"domain_scores_gemma":[0.9990202,0.0001876268,0.0002969147,0.00003804987,0.0001349632,0.0003222109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007615652,0.0008850388,0.9043657,0.0002974611,0.000212027,0.002023069,0.00513463,0.004362182,0.0008478266,0.01219861,0.005960917,0.06295089],"study_design_scores_gemma":[0.0000391884,0.0003736181,0.9682395,0.0001750418,0.00006253461,0.0001258387,0.01822931,0.003747561,0.0003925485,0.000871385,0.007726942,0.00001658068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951669,0.0002454062,0.0001185939,0.000808185,0.00001994148,0.00003005099,0.0002165777,0.000004181477,0.003390214],"genre_scores_gemma":[0.9987282,0.0001291606,0.00004835847,0.00005935387,0.000005235711,0.00001321765,0.0001159975,0.000001375301,0.0008991077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06300323,"threshold_uncertainty_score":0.125273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177968630194308,"score_gpt":0.4257449221768009,"score_spread":0.3639652358748579,"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."}}