{"id":"W4235247222","doi":"10.24124/2008/bpgub1357","title":"Factors that predict employee retention in traditional pulp and paper mills facing labour shortages using a statistical model","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Attrition; Mill; Economic shortage; Operations management; Engineering; Pulp mill; Job satisfaction; Pulp (tooth); Business; Marketing; Management; Economics; Waste management; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001968732,0.0002909781,0.0003340613,0.0009046851,0.000797776,0.001409811,0.0006784584,0.0005823963,0.003430489],"category_scores_gemma":[0.006286663,0.0002144008,0.0006125596,0.0009362261,0.0003455639,0.0005078439,0.0006860041,0.0009618651,0.0005653357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007120034,"about_ca_system_score_gemma":0.001878571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0730366,"about_ca_topic_score_gemma":0.05862965,"domain_scores_codex":[0.9994091,0.0001836889,0.000038289,0.0000821588,0.0001084639,0.000178461],"domain_scores_gemma":[0.9958304,0.002159734,0.0005590447,0.0001797964,0.000515627,0.0007554381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001049569,0.0002592565,0.9929411,0.000006416997,0.00004981866,0.00006083542,0.000212235,0.002030867,0.00009652518,0.00004763229,0.0004199017,0.003770531],"study_design_scores_gemma":[0.00001877846,0.0003134305,0.94911,0.00003017903,0.00007013302,0.00008570314,0.002275823,0.04732785,0.00009253844,0.0001885111,0.0004697236,0.00001723141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992539,0.00002439507,0.0002396201,0.0001037713,0.000003289097,0.000007699578,0.00008605107,0.000005316365,0.0002759178],"genre_scores_gemma":[0.9990639,0.00002602282,0.0001388089,0.00001584076,0.000005325324,0.00001007935,0.0002054892,0.000001940446,0.0005325751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0730366,"threshold_uncertainty_score":0.145223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120910857158574,"score_gpt":0.2843454581990142,"score_spread":0.1722543724831568,"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."}}