{"id":"W2152257701","doi":"","title":"Employment and Productivity: Disentangling Employment Structure and Qualification Effects","year":2012,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Business; Economics; Demographic economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008045575,0.0001839324,0.0002519239,0.0001337654,0.0001185453,0.000121029,0.0001195116,0.00006655857,0.00002060197],"category_scores_gemma":[0.0004125533,0.000194263,0.00003717185,0.0001006273,0.00007771666,0.0007025605,0.0001392313,0.000152831,0.000009732106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529579,"about_ca_system_score_gemma":0.000007088271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001691971,"about_ca_topic_score_gemma":0.00001266473,"domain_scores_codex":[0.9987007,0.00005389659,0.0003432931,0.0005400506,0.0001071703,0.0002549043],"domain_scores_gemma":[0.9991969,0.00008347382,0.0002550472,0.0002894647,0.0000608622,0.0001142221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003698548,0.0002713234,0.9024051,0.0000612919,0.0001135114,0.000001030665,0.0007270952,0.000007226456,0.001779035,0.08461409,0.00004087542,0.009942475],"study_design_scores_gemma":[0.0004873703,0.00005356398,0.9377315,0.00002750303,0.00001797107,0.00001542689,0.00004547504,0.0004287449,0.005607401,0.0458984,0.009269583,0.0004170302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911645,0.001523901,0.0007180349,0.003173873,0.002523747,0.0004039724,0.0002113247,0.00004423269,0.0002364085],"genre_scores_gemma":[0.9973945,0.00008394122,0.0006076389,0.00005123923,0.001376956,0.0000423783,0.00003550651,0.0000246878,0.0003831457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03871569,"threshold_uncertainty_score":0.7921816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184336823346691,"score_gpt":0.2591509197838799,"score_spread":0.237307551550413,"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."}}