{"id":"W2987820361","doi":"10.1002/jae.2785","title":"The evolution of the US family income–schooling relationship and educational selectivity","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche","keywords":"Differential (mechanical device); Demographic economics; Economics; Differential effects; Affect (linguistics); Family income; National Longitudinal Surveys; Cognition; Econometrics; Psychology; Demography; Sociology; Economic growth; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001162562,0.00004597281,0.0001008092,0.00009176901,0.0007764834,0.00004729396,0.0001702356,0.00003374351,0.000009983396],"category_scores_gemma":[0.001891923,0.00003015804,0.00005632118,0.000810581,0.0001402825,0.0001288799,0.0000341569,0.0001645971,0.000002948214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248253,"about_ca_system_score_gemma":0.0006179718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163751,"about_ca_topic_score_gemma":0.00008784512,"domain_scores_codex":[0.9991964,0.00006311777,0.0003471054,0.00006554399,0.00024017,0.00008774158],"domain_scores_gemma":[0.9980955,0.001091386,0.0004083536,0.00004307611,0.0003004816,0.00006119918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002730052,0.0000314514,0.2787039,0.000009425244,0.00004394621,1.977602e-8,0.003595843,0.001123105,0.00005625974,0.7143401,0.001652284,0.0004163751],"study_design_scores_gemma":[0.000108089,0.00002261358,0.9180859,0.000006032667,0.00001930691,0.000001086674,0.005496394,0.0001043291,0.00003260703,0.06543415,0.01063365,0.0000558148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612921,0.0009726959,0.0003182205,0.02214994,0.0004332019,0.00008609405,0.000004592916,0.000002121656,0.01474096],"genre_scores_gemma":[0.9985905,0.0001419598,0.0002962002,0.0002364839,0.0006376862,0.000003171562,3.737217e-7,0.000002564069,0.00009109967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6489059,"threshold_uncertainty_score":0.5972161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06767201672317676,"score_gpt":0.3023030246656941,"score_spread":0.2346310079425174,"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."}}