{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292437,0.00003262126,0.00007541103,0.00002582844,0.0001094494,0.00001399666,0.00003987065,0.00002021707,7.599731e-7],"category_scores_gemma":[0.0000956481,0.00002396002,0.000007136257,0.0001012,0.00009600991,0.0001539094,0.00003047371,0.00001500499,3.284887e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003666989,"about_ca_system_score_gemma":0.00005180376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0139974,"about_ca_topic_score_gemma":0.03395262,"domain_scores_codex":[0.9996065,0.00005214837,0.00009520296,0.00005958444,0.0001169695,0.00006957106],"domain_scores_gemma":[0.9996205,0.00007295593,0.00005647667,0.00004750655,0.0001797986,0.00002276856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005058269,0.0000917505,0.8752984,0.0001738675,0.00003679012,3.630783e-8,0.008239366,0.01329366,0.0001080893,0.09489886,0.0001809905,0.007627544],"study_design_scores_gemma":[0.0002985631,0.00006750309,0.275659,0.00001490051,0.0000160093,9.60358e-8,0.001178213,0.7138575,0.0001683423,0.008667789,0.00001466093,0.00005742794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284727,0.00003425346,0.07088235,0.0002212312,0.0000158364,0.0002228052,0.0000168773,0.000006525611,0.0001274153],"genre_scores_gemma":[0.9955716,0.0000573579,0.004169978,0.00001769601,0.000005282276,0.000005470873,0.000003226912,0.000002326979,0.0001670857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7005638,"threshold_uncertainty_score":0.9925685,"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."}}