{"id":"W1589112783","doi":"","title":"Earnings Losses of Displaced Workers: Canadian Evidence from a Large Administrative Database on Firm Closures and Mass Layoffs","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Displaced workers; Seniority; Earnings; Demographic economics; Sample (material); Labour economics; Business; Economics; Accounting; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612304,0.0003962806,0.0004550291,0.006715848,0.002724703,0.001604929,0.002070988,0.0005092812,0.002769776],"category_scores_gemma":[0.008816408,0.0004275858,0.0005606432,0.01466047,0.0007398376,0.0006577273,0.00177769,0.000780986,0.000575949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01711615,"about_ca_system_score_gemma":0.01986364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910616,"about_ca_topic_score_gemma":0.9933161,"domain_scores_codex":[0.9977831,0.0001302402,0.0002168027,0.0002103987,0.001151812,0.0005075865],"domain_scores_gemma":[0.9845902,0.0009573049,0.005696992,0.0006417648,0.006773855,0.001339852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001425087,0.00003597299,0.9822009,0.0001325817,0.00008148051,0.00009314387,0.001081854,0.0001597906,0.00006320794,0.0001960695,0.006911413,0.008900947],"study_design_scores_gemma":[0.000007210058,0.00001159923,0.9961213,0.00004934902,0.00002061582,0.0000279664,0.0008866789,0.0001251186,0.00003948776,0.00001694285,0.002683006,0.00001065399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908368,0.003423032,0.0002166225,0.0009036584,0.00003522193,0.0001168257,0.09784095,0.0000418794,0.006584935],"genre_scores_gemma":[0.9387418,0.003965216,0.0003705028,0.0002017451,0.0000251773,0.00007143721,0.05280007,0.00001335855,0.00381061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711615,"threshold_uncertainty_score":0.1241869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2460821129726112,"score_gpt":0.4690998959447506,"score_spread":0.2230177829721395,"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."}}