{"id":"W1999554148","doi":"10.1080/00036840500244519","title":"Literacy and labour market outcomes: self-assessment versus test score measures","year":2005,"lang":"en","type":"article","venue":"Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Queen's University","funders":"","keywords":"Test (biology); Econometrics; Literacy; Variable (mathematics); Measure (data warehouse); Outcome (game theory); Test score; Economics; Actuarial science; Latent variable; Psychology; Statistics; Mathematics; Standardized test; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001025587,0.0003225381,0.0006207396,0.0001620437,0.0001643124,0.000311558,0.000307246,0.0001622108,0.0003866296],"category_scores_gemma":[0.00005026101,0.0003727767,0.0001088621,0.0001177702,0.0000511828,0.0003562524,0.0001687357,0.0002346125,0.0001927364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338356,"about_ca_system_score_gemma":0.00005314734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007946898,"about_ca_topic_score_gemma":0.0001188855,"domain_scores_codex":[0.9979329,0.00001226979,0.0008833961,0.0006856296,0.00003383843,0.0004519849],"domain_scores_gemma":[0.9984297,0.0003505074,0.0004194856,0.0005890721,0.00002763379,0.0001836175],"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":[0.00004404191,0.0001664348,0.2502404,0.00002726211,0.0001255856,8.176088e-7,0.0001878248,0.0000814675,0.00000222385,0.7415998,0.0001381143,0.00738601],"study_design_scores_gemma":[0.004009493,0.00008151425,0.6973397,0.000007852306,0.00002730936,0.000003408313,0.00006731014,0.006700066,0.00001223112,0.1366202,0.1541961,0.0009348239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193709,0.0002581094,0.0003544492,0.001384161,0.0004151398,0.0003176203,0.0004996953,0.0001053002,0.07729466],"genre_scores_gemma":[0.9887229,0.001144962,0.008260537,0.0009811327,0.0002182213,0.0000668713,0.00003005216,0.00005544171,0.0005198439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6049796,"threshold_uncertainty_score":0.9998724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031643555692674,"score_gpt":0.2419497626688056,"score_spread":0.2216333271118789,"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."}}