{"id":"W2082044056","doi":"10.4018/jskd.2010100801","title":"Affective Factors for Successful Knowledge Management","year":2010,"lang":"en","type":"article","venue":"International Journal of Sociotechnology and Knowledge Development","topic":"Human Behavior and Motivation","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Knowledge management; Psychology; Affect (linguistics); Success factors; Business; Computer science; Political science; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.0004096419,0.0001482175,0.0001928719,0.0004692087,0.0001309392,0.00002431423,0.0003887593,0.000305137,0.0001828595],"category_scores_gemma":[0.0000581175,0.0001290161,0.00008275653,0.00007365975,0.0001587175,0.0000975232,0.0001039382,0.0004574254,0.00003453764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080676,"about_ca_system_score_gemma":0.00008276988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001504354,"about_ca_topic_score_gemma":0.00004274067,"domain_scores_codex":[0.9990933,0.00002842452,0.0003882064,0.0001893806,0.0001163694,0.000184333],"domain_scores_gemma":[0.9989797,0.0001561339,0.0002358247,0.00009211913,0.0004760112,0.00006022567],"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":[0.0002453362,0.001423174,0.05540235,0.00004298544,0.001555554,0.00005636942,0.03794441,3.18464e-7,0.00481281,0.2327488,0.005443606,0.6603243],"study_design_scores_gemma":[0.004751522,0.0003096934,0.5433754,0.0001132047,0.000127462,0.0002107383,0.01047325,0.000004032434,0.02186053,0.006841312,0.4114527,0.0004801078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826655,0.0003013563,0.003430686,0.0003302007,0.005244311,0.0002199041,0.000004758072,0.00003843612,0.007764881],"genre_scores_gemma":[0.9953112,0.00002788146,0.002544589,0.00002266134,0.0002191605,0.00003973582,0.000009198175,0.00001542628,0.00181015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6598442,"threshold_uncertainty_score":0.5261122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084742520837788,"score_gpt":0.3542375835981962,"score_spread":0.3333901583898183,"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."}}