{"id":"W2160904960","doi":"10.1108/13673270810852458","title":"The effect of tacit knowledge on firm performance","year":2008,"lang":"en","type":"article","venue":"Journal of Knowledge Management","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tacit knowledge; Balanced scorecard; Knowledge management; Originality; Business; Sample (material); Value (mathematics); Metric (unit); Index (typography); Explicit knowledge; Measure (data warehouse); Computer science; Marketing; Psychology; Creativity; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005668521,0.0004373492,0.0004222985,0.00273112,0.0007159499,0.00448257,0.0008894916,0.0007203855,0.002317919],"category_scores_gemma":[0.04661463,0.0001267272,0.0003673118,0.002664209,0.001652998,0.002810733,0.002054427,0.0010726,0.0004033485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449721,"about_ca_system_score_gemma":0.002304623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0093443,"about_ca_topic_score_gemma":0.009180312,"domain_scores_codex":[0.9928936,0.001489949,0.000470351,0.0005106003,0.003770932,0.0008645655],"domain_scores_gemma":[0.8677176,0.06913625,0.03922171,0.005220179,0.01124455,0.007459672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003156392,0.001005175,0.8852875,0.0002481557,0.0003487655,0.0003268065,0.001255771,0.007583795,0.001207265,0.002132806,0.0005203867,0.09976795],"study_design_scores_gemma":[0.00001388677,0.0007352225,0.986479,0.0001276818,0.00007340892,0.0001222789,0.001358615,0.006527033,0.001459573,0.002216784,0.0008411668,0.00004531063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856476,0.0004896554,0.001188998,0.0003033455,0.00001137042,0.00003993248,0.0001337967,0.00002802838,0.01215726],"genre_scores_gemma":[0.9993759,0.00008019441,0.0001875009,0.00001515254,0.00000957151,0.000006045052,0.00004452662,0.000002360666,0.0002788185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0093443,"threshold_uncertainty_score":0.02997833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395808444292325,"score_gpt":0.226933813213748,"score_spread":0.2129757287708247,"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."}}