{"id":"W3093903041","doi":"10.5267/j.ijdns.2020.8.002","title":"The impact of using online social media networks on employees’ productivity in higher educational institutions","year":2020,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Social media; Christian ministry; Work (physics); Public relations; Business; Marketing; Political science; Economic growth; Engineering; Economics","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":[0.00149611,0.0002169834,0.0001612848,0.001104507,0.001320047,0.00250465,0.0004031109,0.0004080066,0.004324191],"category_scores_gemma":[0.008074539,0.0001017723,0.0002764582,0.0009675614,0.0005066388,0.001176894,0.001632244,0.0007527791,0.0005914978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027906,"about_ca_system_score_gemma":0.001144659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005758379,"about_ca_topic_score_gemma":0.008729179,"domain_scores_codex":[0.9979121,0.0006871023,0.0001576369,0.0001296079,0.0005610871,0.0005524335],"domain_scores_gemma":[0.9856929,0.003727465,0.005294087,0.000374482,0.001566759,0.003344219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007594408,0.0003482233,0.9526777,0.00007534445,0.00006651839,0.0002918264,0.005933377,0.0001965962,0.0004156627,0.0003100279,0.001052684,0.03855625],"study_design_scores_gemma":[0.000003622348,0.0001621209,0.9688839,0.00006379662,0.000026568,0.0001042212,0.0277992,0.0003019775,0.0001905486,0.0001728893,0.002276759,0.00001451061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953945,0.0002095144,0.00008551026,0.000621955,0.00002148864,0.000005813893,0.00008325147,0.000004520133,0.003573622],"genre_scores_gemma":[0.9992636,0.0001133502,0.00003627987,0.00004333197,0.00001920292,0.000003756295,0.00002611407,0.000001157084,0.0004931369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005758379,"threshold_uncertainty_score":0.01446587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301961320383302,"score_gpt":0.3740348279738668,"score_spread":0.2438386959355366,"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."}}