{"id":"W3121591735","doi":"10.2139/ssrn.547563","title":"The Wealth of Mexican Americans","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Canadian Institute for International Peace and Security","funders":"","keywords":"Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003529946,0.000111468,0.0001286755,0.0009451156,0.001418784,0.001487647,0.0001720899,0.0004293409,0.004688061],"category_scores_gemma":[0.001887298,0.00009593989,0.00007646963,0.0009757078,0.0004454368,0.001156016,0.0008815633,0.0006073536,0.0002384028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400359,"about_ca_system_score_gemma":0.0002448231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920721,"about_ca_topic_score_gemma":0.04017964,"domain_scores_codex":[0.9998653,0.00003939462,0.000004794,0.00001310042,0.00002124884,0.00005618811],"domain_scores_gemma":[0.9993906,0.00005648942,0.0002831121,0.00003906655,0.00005768532,0.0001730762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003788926,0.000198306,0.9394186,0.00002948949,0.0000791869,0.0004216942,0.01254826,0.00006879044,0.0004304071,0.01028657,0.007470276,0.02866945],"study_design_scores_gemma":[0.00001378175,0.00006261826,0.9528735,0.00004974503,0.00004587436,0.0002213512,0.0309997,0.0001219295,0.00009857974,0.001831177,0.01366931,0.00001250558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890586,0.0004705569,0.0000154095,0.002519424,0.0000207452,0.000002162596,0.0001864821,9.67599e-7,0.00772577],"genre_scores_gemma":[0.9980026,0.0004118396,0.00001234685,0.0002340874,0.00002730977,0.00000201478,0.00007231232,7.156909e-7,0.001236656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01920721,"threshold_uncertainty_score":0.03819084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583649004433595,"score_gpt":0.3036881705831729,"score_spread":0.2878516805388369,"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."}}