{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001722795,0.000661064,0.0004432434,0.001539379,0.0003496097,0.001863566,0.000685296,0.0009129712,0.02669522],"category_scores_gemma":[0.01329876,0.0001827738,0.000777106,0.0007173776,0.000217846,0.0008386876,0.001051291,0.0007677379,0.007804479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269814,"about_ca_system_score_gemma":0.001917454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630563,"about_ca_topic_score_gemma":0.002721619,"domain_scores_codex":[0.997384,0.0005154602,0.00006777608,0.0001441244,0.001226785,0.0006618993],"domain_scores_gemma":[0.993036,0.002449313,0.0007655017,0.0006794359,0.001943872,0.001125804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001003181,0.0006859857,0.03551243,0.0003011622,0.0001536963,0.0009185458,0.0001977124,0.01043115,0.005745594,0.01900472,0.03171976,0.894326],"study_design_scores_gemma":[0.0003188372,0.006684412,0.4155802,0.001335325,0.0009739721,0.01384515,0.002385734,0.05990745,0.02266289,0.04570192,0.4303759,0.0002282235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3616327,0.007819739,0.07787628,0.0158058,0.001319602,0.0009263818,0.005537022,0.003131229,0.5259512],"genre_scores_gemma":[0.8707002,0.004113085,0.01875791,0.0009306978,0.0003767321,0.000265213,0.003438453,0.0003528859,0.1010648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02669522,"threshold_uncertainty_score":0.08930439,"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."}}