{"id":"W2082848041","doi":"10.1111/1756-2171.12023","title":"Multidimensional heterogeneity and the economic importance of risk and matching: evidence from contractual data and field experiments","year":2013,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Matching (statistics); Earnings; Sorting; Economics; Business; Econometrics; Finance; Computer science","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":[0.02858523,0.0003586467,0.0008706852,0.001461749,0.001323718,0.002082548,0.001470841,0.001505194,0.006102497],"category_scores_gemma":[0.07862658,0.0004508523,0.0006161072,0.001963405,0.003357858,0.002346151,0.001485172,0.001019034,0.0005128745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000927271,"about_ca_system_score_gemma":0.0007152887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003717415,"about_ca_topic_score_gemma":0.003611256,"domain_scores_codex":[0.9889954,0.00751297,0.0006910297,0.0009160355,0.001592744,0.0002917263],"domain_scores_gemma":[0.6743178,0.2076801,0.07997502,0.03198154,0.003206905,0.002838645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008886476,0.009110084,0.8117113,0.00076518,0.001551571,0.0004354224,0.003540856,0.02052669,0.004204732,0.03847041,0.002467937,0.09832939],"study_design_scores_gemma":[0.001026019,0.003104766,0.8796724,0.0002619992,0.0004661914,0.0004155081,0.00224938,0.02999827,0.003230524,0.07409346,0.00529931,0.0001821743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991675,0.0004828617,0.002958185,0.0003301953,0.000008799054,0.00008105477,0.0002330553,0.0000112933,0.004219609],"genre_scores_gemma":[0.9968948,0.0002490475,0.001986267,0.00009703067,0.00001455566,0.00005619262,0.0002237723,0.000005669448,0.0004726195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02858523,"threshold_uncertainty_score":0.1511749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914172965321277,"score_gpt":0.252116924310493,"score_spread":0.2029751946572802,"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."}}