{"id":"W2185816106","doi":"10.19030/iber.v9i11.31","title":"Return On Investment For Background Screening","year":2010,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Business Law and Ethics","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kwantlen Polytechnic University","funders":"","keywords":"Return on investment; Productivity; Absenteeism; Investment (military); Value (mathematics); Rate of return; Business; Actuarial science; Operations management; Economics; Finance; Computer science; Microeconomics; Production (economics); Management; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003255318,0.0002903003,0.000297355,0.001090156,0.0009014478,0.003028279,0.001263534,0.0002387731,0.0008190603],"category_scores_gemma":[0.001191048,0.0002714548,0.0001822855,0.0004641023,0.0002878206,0.002609107,0.0004044036,0.001630168,0.0004135994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931158,"about_ca_system_score_gemma":0.0002494592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003348085,"about_ca_topic_score_gemma":0.0005606377,"domain_scores_codex":[0.9974287,0.00002553781,0.0006574527,0.0004836459,0.0006821963,0.0007224443],"domain_scores_gemma":[0.9951003,0.0004884568,0.0004139034,0.000368183,0.003545544,0.0000836602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001070916,0.0004522207,0.006044564,0.0001562668,0.0003175299,0.00006716121,0.00006695471,0.002412945,0.002628219,0.9142542,0.04654346,0.02598556],"study_design_scores_gemma":[0.001438626,0.00002049335,0.01435687,0.0001308503,0.00001909042,0.00008425297,0.0001249789,0.01043861,0.0001239515,0.08855215,0.8843365,0.0003735924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8317012,0.00006536068,0.003090771,0.0794206,0.01074624,0.0007183915,0.00004028093,0.0000978133,0.07411938],"genre_scores_gemma":[0.9622835,0.000238813,0.003880711,0.009587476,0.02097137,0.0001122366,0.0001815606,0.0001465691,0.002597781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8377931,"threshold_uncertainty_score":0.9999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464376561193537,"score_gpt":0.3653791966675469,"score_spread":0.2189415405481932,"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."}}