{"id":"W4238998090","doi":"10.1002/9781118445112.stat03470","title":"Human Capital","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Human capital; Estimation; Variable (mathematics); Value (mathematics); Distribution (mathematics); Econometrics; Sample (material); Latent variable; Capital (architecture); Actuarial science; Statistics; Mathematics; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003725003,0.0006185304,0.001260047,0.000542896,0.0001259614,0.0001092765,0.0006141012,0.0004925893,0.01433784],"category_scores_gemma":[0.0001913723,0.0007391248,0.000102872,0.0001443651,0.0002454526,0.00008577397,0.0001531833,0.0006879084,0.005733002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418728,"about_ca_system_score_gemma":0.00007561291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930782,"about_ca_topic_score_gemma":0.002633915,"domain_scores_codex":[0.9969338,0.00004564883,0.001046718,0.001204671,0.0000829029,0.0006863135],"domain_scores_gemma":[0.997268,0.00006380238,0.001251377,0.00107988,0.00005279797,0.0002841732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004812921,0.000155391,0.001529609,0.0001729407,0.0001046928,0.000008822135,0.00004640622,0.000002398602,0.00000310461,0.5096095,0.4866206,0.001741746],"study_design_scores_gemma":[0.0005233405,0.000159623,0.001279429,0.0001022409,0.0000230469,0.000003954216,0.000016658,0.0001230032,0.000001708734,0.179073,0.8178326,0.0008614527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00113708,0.005171256,0.04652497,0.0002188251,0.002021323,0.0006984252,0.1459529,0.0004454253,0.7978299],"genre_scores_gemma":[0.02460231,0.00204102,0.0499048,0.0004474154,0.002137682,0.00005795121,0.01410851,0.001237112,0.9054632],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3312119,"threshold_uncertainty_score":0.999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0484230173127019,"score_gpt":0.2666233491420098,"score_spread":0.2182003318293079,"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."}}