{"id":"W2971653721","doi":"10.1371/journal.pone.0222000","title":"The effect of tobacco expenditure on expenditure shares in South African households: A genetic matching approach","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Quartile; Endogeneity; Economics; Matching (statistics); Demographic economics; Crowding out; Public economics; Econometrics; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002233616,0.000308493,0.0004076796,0.000969752,0.0006750813,0.0008246396,0.0006312931,0.000750012,0.005876014],"category_scores_gemma":[0.01154442,0.000231493,0.001094801,0.002024328,0.0008505515,0.0005654155,0.001329191,0.0006295573,0.0004084436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739133,"about_ca_system_score_gemma":0.000728109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03386319,"about_ca_topic_score_gemma":0.01782969,"domain_scores_codex":[0.997865,0.001278982,0.0000627244,0.0003167173,0.0001460927,0.0003305447],"domain_scores_gemma":[0.995484,0.002350223,0.00119722,0.0004888428,0.0002048572,0.0002748181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003917019,0.0001292912,0.9749053,0.00003327127,0.000613308,0.0005138472,0.0009400403,0.006429716,0.00143968,0.003272076,0.0003532697,0.0109784],"study_design_scores_gemma":[0.00003081446,0.0002394758,0.9614145,0.00003068069,0.0003582431,0.0001956922,0.001852179,0.03174933,0.0007737878,0.002314826,0.001020213,0.00002018026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977866,0.00004940357,0.001274681,0.0001632712,0.000004135682,0.00001005279,0.0001725183,0.000009805066,0.0005294024],"genre_scores_gemma":[0.9989465,0.00002648586,0.0004846178,0.00001977271,0.000002655795,0.000006345836,0.00008845263,0.000002724436,0.0004224892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03386319,"threshold_uncertainty_score":0.06733215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348256823126264,"score_gpt":0.1792576217330693,"score_spread":0.1557750535018067,"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."}}