{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002620087,0.0002851689,0.0002142525,0.0008334114,0.002016408,0.004631617,0.0003117726,0.0009894794,0.004579386],"category_scores_gemma":[0.01100363,0.0002087696,0.0003348029,0.000502133,0.002167165,0.001066521,0.001980122,0.001670557,0.000567153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617107,"about_ca_system_score_gemma":0.002265767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629909,"about_ca_topic_score_gemma":0.001769009,"domain_scores_codex":[0.9973362,0.0009825412,0.0002072989,0.0001814126,0.0007800937,0.0005124588],"domain_scores_gemma":[0.9864477,0.004876014,0.002554357,0.0004167307,0.001767072,0.003938175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007502701,0.00285467,0.2722835,0.001981989,0.0003951003,0.002602523,0.04074563,0.004546185,0.01804632,0.2401095,0.02484113,0.3908433],"study_design_scores_gemma":[0.0001183524,0.000797339,0.7069229,0.0006940174,0.0002190303,0.001371626,0.02562976,0.005363726,0.002160362,0.1771841,0.07926202,0.0002767873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5318929,0.003437963,0.02625277,0.01784554,0.0005772249,0.0003706041,0.0001794338,0.0002128202,0.4192307],"genre_scores_gemma":[0.9946764,0.0004755623,0.002794728,0.0004651138,0.0001033706,0.00004430068,0.00002746875,0.00001283972,0.001400285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004631617,"threshold_uncertainty_score":0.01531959,"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."}}