{"id":"W2922017058","doi":"10.5539/ibr.v12n4p40","title":"Employee Theft among College Students in the Workforce","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embezzlement; Commit; Demographics; Workforce; Business; Identity theft; Population; Psychology; Internet privacy; Criminology; Criminal law; Demography; Political science; Medicine; Law; Environmental health; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674146,0.0001504497,0.0002152835,0.001132115,0.001624064,0.00124611,0.0003231193,0.0006135768,0.003603418],"category_scores_gemma":[0.003316265,0.0001891362,0.0002028432,0.001032951,0.0006215341,0.0008377889,0.001300859,0.0009747108,0.0004445708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006817176,"about_ca_system_score_gemma":0.001363026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632566,"about_ca_topic_score_gemma":0.02848737,"domain_scores_codex":[0.9993284,0.0001282837,0.00005730915,0.00006007723,0.0001715554,0.0002544557],"domain_scores_gemma":[0.9972579,0.0002494837,0.001161694,0.00008909623,0.0004154452,0.0008262921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001491066,0.0001253956,0.9877744,0.00001521371,0.00000604163,0.0001302388,0.003865403,0.000007697442,0.0001487295,0.00005856249,0.0006377799,0.007215617],"study_design_scores_gemma":[0.000003013115,0.0001162062,0.9590216,0.00005582667,0.000008877719,0.0003189043,0.03844471,0.00006242049,0.00007742815,0.00005173247,0.001832142,0.000007088108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986807,0.0001223842,0.0000150461,0.0003509476,0.00001234906,0.000008919419,0.00003285068,0.00000126871,0.0007756598],"genre_scores_gemma":[0.9991341,0.0002143343,0.00001512227,0.0002069174,0.00001225697,0.000005291727,0.00002892291,7.517716e-7,0.0003822325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01632566,"threshold_uncertainty_score":0.03246123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943192587206434,"score_gpt":0.3962347496157558,"score_spread":0.3268028237436915,"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."}}