{"id":"W3097069630","doi":"10.1002/cjas.1594","title":"Contrasting voluntary versus involuntary layoffs: Antecedents and outcomes","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Layoff; Turnover; Job satisfaction; Severance; Business; Work (physics); Empirical research; Demographic economics; Labour economics; Psychology; Marketing; Unemployment; Economics; Social psychology; Management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002736017,0.0001867754,0.0002706631,0.0007515405,0.0008971051,0.001423253,0.000459623,0.0004278818,0.00298454],"category_scores_gemma":[0.01107724,0.0001251493,0.000254804,0.0005688556,0.0007994206,0.000518748,0.001379102,0.0008261238,0.0002099948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000492479,"about_ca_system_score_gemma":0.0008458856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294172,"about_ca_topic_score_gemma":0.003943056,"domain_scores_codex":[0.9985642,0.0006471173,0.0001073801,0.000113493,0.0002500617,0.0003178045],"domain_scores_gemma":[0.9786127,0.008519654,0.008233147,0.0005871719,0.0008694581,0.003177929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003374705,0.0007548135,0.9905563,0.00003181838,0.00003861232,0.00007838289,0.0006317921,0.0001542728,0.000286803,0.0002689205,0.00006662499,0.006794261],"study_design_scores_gemma":[0.000007059552,0.0003682219,0.995804,0.00002448901,0.00001429279,0.00003049199,0.002972425,0.0002978997,0.0001269264,0.0002714123,0.00007778319,0.000005018663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994484,0.0000469994,0.00006216786,0.00003450004,0.000004150364,0.000009736176,0.00002152719,0.000001157899,0.0003714488],"genre_scores_gemma":[0.9997963,0.00002206851,0.00004227634,0.000006330058,0.000003088692,0.000006347238,0.00002776241,5.91308e-7,0.00009520634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00298454,"threshold_uncertainty_score":0.01446962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2337045334976847,"score_gpt":0.4205730933249673,"score_spread":0.1868685598272826,"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."}}