{"id":"W7098358805","doi":"","title":"MODEL ESTIMATION FOR SELECTIVITY OF ATTRITION, EMPLOYMENT AND WAGES USING THE SURVEY OF LABOUR AND INCOME DYNAMICS","year":2015,"lang":"en","type":"article","venue":"","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Work (physics); Wage; Survey data collection; Unemployment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02052523,0.0009409066,0.002206831,0.001669568,0.0008686653,0.002274455,0.003652357,0.002006024,0.009192916],"category_scores_gemma":[0.02810615,0.001093074,0.002909505,0.0020468,0.0009052097,0.00126193,0.001924781,0.003102858,0.001568851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667804,"about_ca_system_score_gemma":0.003557507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06729522,"about_ca_topic_score_gemma":0.05595773,"domain_scores_codex":[0.9940438,0.003997384,0.0002205883,0.0007813253,0.0002386038,0.0007182392],"domain_scores_gemma":[0.9617633,0.03180501,0.002559706,0.001535012,0.001646834,0.0006901586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001014962,0.0006461237,0.350315,0.0003075004,0.00253395,0.0004210133,0.001028123,0.4861987,0.0005586554,0.06191452,0.01345477,0.08160672],"study_design_scores_gemma":[0.0001903822,0.0002084384,0.03023099,0.00009441318,0.0004037798,0.00009469796,0.000467438,0.9469834,0.0002866498,0.01830912,0.002681735,0.00004891808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6240143,0.001179815,0.358788,0.003517236,0.0002086146,0.0006867473,0.006270563,0.0006883087,0.004646496],"genre_scores_gemma":[0.9423515,0.0005508486,0.03375369,0.0002708657,0.0001115639,0.0008266418,0.006725885,0.0001166991,0.01529234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06729522,"threshold_uncertainty_score":0.1338071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391360793509875,"score_gpt":0.3791446118157074,"score_spread":0.24000853246472,"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."}}