{"id":"W3097158460","doi":"10.5267/j.msl.2020.10.018","title":"Enhancing organizational performance in the telecommunication industry in Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Business; Knowledge management; Telecommunications; Perception; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002226479,0.00007365385,0.00006904938,0.0002235162,0.0005260358,0.0002316033,0.001388744,0.00004300501,0.00007554265],"category_scores_gemma":[0.0001213277,0.00006648681,0.00001337835,0.00336391,0.0003012,0.0006386397,0.0002666736,0.0003746526,0.0000695109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160632,"about_ca_system_score_gemma":0.0000187307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007371885,"about_ca_topic_score_gemma":0.0004567752,"domain_scores_codex":[0.9985214,0.0001089541,0.0001906734,0.0002596322,0.0005706861,0.0003485971],"domain_scores_gemma":[0.9996539,0.00003986478,0.00005443456,0.0001977675,0.00001257558,0.0000414112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000545887,0.00005769963,0.9016926,0.00005385719,0.000004730523,0.00001370923,0.0509168,0.00177419,0.001017866,0.03718587,0.001192804,0.006084376],"study_design_scores_gemma":[0.0003052948,0.00001194518,0.9565323,0.00006554269,0.000006279856,1.379335e-7,0.01883798,0.002490623,0.0001615659,0.0001817271,0.02119128,0.0002153438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8569942,0.00001104849,0.0003290101,0.06401134,0.00009008662,0.0003500753,1.011184e-7,0.00003498359,0.0781792],"genre_scores_gemma":[0.9888996,0.00003720898,0.0003792696,0.0104564,0.0000753834,0.00002087758,0.00000154015,0.000004150206,0.0001255102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319055,"threshold_uncertainty_score":0.4045895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535038654180341,"score_gpt":0.2674645069801583,"score_spread":0.2421141204383549,"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."}}