{"id":"W2738391891","doi":"10.1016/j.ecolecon.2017.07.022","title":"Is Environmental Income Reporting Evasive in Household Surveys? Evidence From Rural Poor in Laos","year":2017,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Poverty; Probit model; Household income; Economics; Work (physics); Quarter (Canadian coin); Poverty trap; Ordered probit; Demographic economics; Socioeconomics; Geography; Economic growth; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03207234,0.0003100005,0.000539022,0.001962632,0.001272652,0.002366672,0.001491152,0.001158584,0.002745693],"category_scores_gemma":[0.09566472,0.0004821258,0.000514987,0.004824794,0.003206733,0.002104853,0.002262832,0.001409365,0.0002465368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073858,"about_ca_system_score_gemma":0.001949288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07389715,"about_ca_topic_score_gemma":0.09670669,"domain_scores_codex":[0.9726921,0.02186657,0.001211641,0.0008634672,0.001707132,0.001659146],"domain_scores_gemma":[0.8102763,0.1101048,0.05594796,0.006690946,0.01456024,0.002419798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002917095,0.0001317898,0.9834785,0.000262924,0.0002663922,0.00009784854,0.003731948,0.00008563322,0.00005715276,0.0007049934,0.00119448,0.009696504],"study_design_scores_gemma":[0.00007335247,0.0002681048,0.9658126,0.0009395484,0.0005956389,0.0001480484,0.02460549,0.0004391581,0.0003127537,0.001112621,0.005663841,0.00002881164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827265,0.002295993,0.0004378236,0.005745965,0.00004477192,0.00004328383,0.0008486375,0.000005819082,0.007851287],"genre_scores_gemma":[0.9972245,0.001066476,0.0001748378,0.0008776737,0.00004485122,0.00002704172,0.0002300708,0.000003097184,0.0003515667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07389715,"threshold_uncertainty_score":0.1696168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315553523662712,"score_gpt":0.3386442867091382,"score_spread":0.207088934342867,"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."}}