{"id":"W1978165578","doi":"10.1080/08865655.2014.938970","title":"Utilizing Informal Household-Work Substitutes along the US–Mexico Border: Evidence from South Texas","year":2014,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Consumption (sociology); Yard; Informal sector; Perspective (graphical); Consumer market; Goods and services; Business; Sample (material); Household income; Consumer demand; Labour economics; Economics; Marketing; Economic growth; Economy; Sociology; Geography; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009779936,0.0002174086,0.0006762978,0.0001540577,0.0004507066,0.0001328517,0.0004098723,0.00005598491,0.00005139261],"category_scores_gemma":[0.00133904,0.0001540005,0.0002136874,0.0003185518,0.000191972,0.0004986563,0.0001536072,0.0003063353,0.00007100183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004507359,"about_ca_system_score_gemma":0.00002839797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195053,"about_ca_topic_score_gemma":0.000100504,"domain_scores_codex":[0.9982936,0.00003256575,0.001041624,0.0001984645,0.0001290872,0.0003047058],"domain_scores_gemma":[0.9975737,0.0004669798,0.001421191,0.0002773126,0.0001987413,0.00006204377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005656219,0.0000239352,0.9871355,0.00001900006,0.0003931331,0.000002871893,0.004381383,0.0007259366,0.000001268492,0.00220281,0.003746557,0.00131108],"study_design_scores_gemma":[0.0007563179,0.0001571258,0.9091597,0.0003067863,0.0000475026,0.000007599818,0.002494827,0.0002152176,0.00003271924,0.00289186,0.08366061,0.000269801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201652,0.067224,0.003279582,0.004275548,0.00134907,0.0001181577,0.00003011977,0.0000324276,0.003525913],"genre_scores_gemma":[0.9911089,0.006808641,0.0005895679,0.0006405599,0.0004575068,0.000006117394,0.000001007238,0.00001611472,0.0003715612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07991405,"threshold_uncertainty_score":0.6279958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07912299218489072,"score_gpt":0.276411677189714,"score_spread":0.1972886850048233,"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."}}