{"id":"W2147790008","doi":"10.5539/ibr.v8n3p91","title":"An Experimental Study of Influential Elements on Cyberloafing from General Deterrence Theory Perspective Case Study: Tehran Subway Organization","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Cyberloafing and Workplace Behavior","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social loafing; Perspective (graphical); The Internet; Enforcement; Deterrence (psychology); Law enforcement; Work (physics); Perception; Deterrence theory; Business; Computer security; Psychology; Social psychology; Computer science; Criminology; Political science; Engineering; Law","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":[0.001987198,0.0004702339,0.0003552977,0.0006434544,0.002007758,0.0008302974,0.0008510793,0.001106704,0.007290899],"category_scores_gemma":[0.00446385,0.0002795756,0.000330686,0.0003892957,0.001579389,0.0005534714,0.0009128407,0.001012059,0.0003372427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694261,"about_ca_system_score_gemma":0.0009581426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295983,"about_ca_topic_score_gemma":0.002321039,"domain_scores_codex":[0.9985963,0.0006640484,0.00008153226,0.0002262104,0.0002129578,0.000218983],"domain_scores_gemma":[0.9905806,0.00557797,0.001488345,0.001043842,0.0005369755,0.0007722856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01243821,0.2338869,0.4283337,0.001316927,0.0002963233,0.008016156,0.1107709,0.005004672,0.07816055,0.01769356,0.002859175,0.1012229],"study_design_scores_gemma":[0.003577457,0.1617514,0.616694,0.000263347,0.0004982325,0.00119354,0.1296706,0.017463,0.04592953,0.00655642,0.01615563,0.0002469044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989449,0.000006419642,0.0001393372,0.0000240468,0.000003772261,0.00008829531,0.00001018413,0.000002113401,0.0007808566],"genre_scores_gemma":[0.9978504,0.00003534551,0.0007144779,0.00003046172,0.000008802836,0.0002221649,0.00002827684,0.000001528564,0.001108525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007290899,"threshold_uncertainty_score":0.02439052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172067613772825,"score_gpt":0.4796639909477248,"score_spread":0.3624572295704424,"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."}}