{"id":"W2328894012","doi":"10.4018/ijkm.2015070101","title":"Knowledge Identification and Acquisition in SMEs","year":2015,"lang":"en","type":"article","venue":"International Journal of Knowledge Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Identification (biology); Knowledge management; Business; Knowledge acquisition; Flexibility (engineering); Empirical evidence; Knowledge value chain; Empirical research; Balance (ability); Knowledge creation; Marketing; Organizational learning; Computer science; Management; Psychology; Economics","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":[0.006054135,0.0001564425,0.0003018372,0.001725422,0.002654906,0.003591976,0.000451816,0.001102344,0.002031703],"category_scores_gemma":[0.01739574,0.0002048951,0.0002155579,0.001183831,0.002332681,0.003914422,0.006643231,0.0008161449,0.0003786199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507983,"about_ca_system_score_gemma":0.003594726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110605,"about_ca_topic_score_gemma":0.003225805,"domain_scores_codex":[0.9949011,0.003125291,0.0003244742,0.0002921172,0.0007194619,0.0006376222],"domain_scores_gemma":[0.9892206,0.00592807,0.002013992,0.0005826454,0.001202274,0.001052423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003202599,0.0005919384,0.2305938,0.0006020683,0.00005085397,0.004901378,0.4487942,0.001088169,0.005470122,0.05029655,0.001379297,0.2559114],"study_design_scores_gemma":[0.00003818274,0.0006307791,0.264998,0.001310266,0.00004804262,0.003420767,0.6134306,0.003956506,0.004637593,0.05690786,0.05050974,0.0001116137],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608584,0.0006085368,0.001855319,0.001073529,0.000007593982,0.00003393851,0.000008578807,0.00001004478,0.03554416],"genre_scores_gemma":[0.9978353,0.0001923706,0.0004875105,0.00005400358,0.000001722822,0.000009004589,0.000006722473,0.000001501953,0.001411875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006054135,"threshold_uncertainty_score":0.03201771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689544269396651,"score_gpt":0.3603095034913605,"score_spread":0.313414060797394,"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."}}