{"id":"W4400224392","doi":"10.3386/w32635","title":"The Intergenerational Effects of Permanent Legal Status","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Dartmouth College; U.S. Department of Justice","keywords":"Legal status; Demographic economics; Political science; Economics; Law","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":[0.002331583,0.0004205987,0.0003504043,0.001032646,0.0007188733,0.00117215,0.0009231564,0.0007912234,0.005096824],"category_scores_gemma":[0.007657417,0.0003852397,0.0008646515,0.001174865,0.0008028666,0.0006627255,0.001710162,0.001214195,0.0005722358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968529,"about_ca_system_score_gemma":0.0007873879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07386715,"about_ca_topic_score_gemma":0.08027507,"domain_scores_codex":[0.9983583,0.0008872026,0.00008648536,0.000270936,0.0001235331,0.0002734373],"domain_scores_gemma":[0.9925966,0.003485995,0.002592776,0.000577861,0.0002556165,0.0004911526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000616786,0.00009942254,0.9940228,0.000008235045,0.0001793662,0.00009862438,0.0001465228,0.001411464,0.00007514597,0.0005572445,0.000331435,0.003008073],"study_design_scores_gemma":[0.00002033172,0.0002496089,0.9890051,0.00002208286,0.0002183503,0.0001002028,0.0006352015,0.007423759,0.0002809977,0.0006637747,0.001365631,0.00001486756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949827,0.0002719134,0.0007840786,0.0002623909,0.00001638915,0.00002928442,0.002309938,0.00001938781,0.001323936],"genre_scores_gemma":[0.9949181,0.0002239494,0.000449035,0.00005444094,0.00001612174,0.00004662846,0.002236319,0.000005544731,0.002049929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07386715,"threshold_uncertainty_score":0.1468744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.29246031441748,"score_gpt":0.5742976578545272,"score_spread":0.2818373434370472,"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."}}