{"id":"W3123548336","doi":"","title":"Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men","year":2005,"lang":"en","type":"article","venue":"Staff Reports","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Propensity score matching; Matching (statistics); Wage; Geocoding; Measure (data warehouse); Wage growth; Internal migration; Econometrics; Economics; Demographic economics; National Longitudinal Surveys; Labour economics; Statistics; Computer science; Mathematics; Geography; Developing country; Economic growth","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":[0.006108886,0.0003709971,0.0005447481,0.002808542,0.0005560867,0.000683935,0.0005706653,0.0005329773,0.002338067],"category_scores_gemma":[0.02071323,0.0001991366,0.0009993608,0.005270743,0.0006039928,0.0007216625,0.001039482,0.0006767968,0.0004611298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004607051,"about_ca_system_score_gemma":0.0007815322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006668114,"about_ca_topic_score_gemma":0.00596806,"domain_scores_codex":[0.9971164,0.001839307,0.0001928981,0.0002846263,0.0004289842,0.0001377403],"domain_scores_gemma":[0.9883603,0.005374844,0.00410366,0.001370089,0.0004013786,0.00038974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001393806,0.0001839894,0.9668838,0.00003834359,0.0004445095,0.00003987498,0.0002219026,0.005020259,0.0001216706,0.003157534,0.0007851804,0.02296357],"study_design_scores_gemma":[0.00003760712,0.0003031633,0.9699205,0.00003800125,0.0002052141,0.0001113881,0.0004146953,0.02112112,0.0003380995,0.005054298,0.002434774,0.00002105613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716509,0.0005242795,0.0236845,0.0003512757,0.0000350107,0.0001103283,0.001407172,0.00009639486,0.002140185],"genre_scores_gemma":[0.9909469,0.0002715514,0.00608909,0.00004445528,0.00003509877,0.00006750043,0.001361617,0.00001725337,0.001166505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006668114,"threshold_uncertainty_score":0.03230721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695127376104368,"score_gpt":0.252805166206866,"score_spread":0.2258538924458224,"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."}}