{"id":"W2791916758","doi":"10.1002/kpm.1562","title":"Impact of knowledge management processes on business performance: Evidence from Kuwait","year":2018,"lang":"en","type":"article","venue":"Knowledge and Process Management","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Scope (computer science); Originality; Knowledge management; Empirical research; Government (linguistics); Reliability (semiconductor); Knowledge transfer; Survey instrument; Survey research; Knowledge sharing; Marketing; Business administration; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003475727,0.0004723927,0.0004694353,0.0007900128,0.0003926704,0.0002249781,0.0006087762,0.00008853497,0.0008200018],"category_scores_gemma":[0.00005636232,0.0003628967,0.0001263268,0.002624158,0.0002288808,0.001475935,0.0004714528,0.0001388628,0.00163689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006371592,"about_ca_system_score_gemma":0.000048217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001279136,"about_ca_topic_score_gemma":0.0001134932,"domain_scores_codex":[0.9979132,0.00001333952,0.0005101145,0.0006948166,0.0003666845,0.0005018103],"domain_scores_gemma":[0.9979974,0.00007392161,0.0002827892,0.0004469702,0.001160507,0.00003839277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003358429,0.00323596,0.2305383,0.04580517,0.003069683,0.00003880268,0.008472532,0.0003761803,0.0001316467,0.006688207,0.03373862,0.6645465],"study_design_scores_gemma":[0.004226408,0.001618401,0.852989,0.01205259,0.003063201,0.000006265841,0.003033397,0.02338303,0.002832484,0.00726709,0.08602192,0.003506196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7602344,0.002021282,0.0001504936,0.0000456592,0.000243931,0.0004280954,0.000005001783,0.0001015241,0.2367696],"genre_scores_gemma":[0.9933642,0.002079454,0.0000635444,0.0001305574,0.001248139,0.0001086666,0.00004049937,0.0000429109,0.002922034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6610403,"threshold_uncertainty_score":0.9998823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649095928887883,"score_gpt":0.2846458217622203,"score_spread":0.2581548624733414,"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."}}