{"id":"W2952835150","doi":"","title":"Using social networks for knowledge acquisition in regional Australian SMEs: management considerations","year":2013,"lang":"en","type":"article","venue":"Journal of Knowledge Management and Practice","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Knowledge management; Business; Process management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006345764,0.0001641721,0.0002425497,0.001699074,0.003679143,0.006414667,0.001214945,0.001244158,0.007170185],"category_scores_gemma":[0.02393945,0.0001963829,0.0002366594,0.001480519,0.002212776,0.006133285,0.003859477,0.0009654688,0.0004695703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003240558,"about_ca_system_score_gemma":0.006555912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04253209,"about_ca_topic_score_gemma":0.08977864,"domain_scores_codex":[0.9959821,0.002345246,0.0001248893,0.0002005301,0.0005256423,0.0008216287],"domain_scores_gemma":[0.958515,0.02687454,0.003736501,0.001328165,0.004968313,0.004577428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003468846,0.001137462,0.393177,0.001122198,0.0002043939,0.002859209,0.1563384,0.002966769,0.002797904,0.1037106,0.00789503,0.3274441],"study_design_scores_gemma":[0.00003334634,0.0004844002,0.4652902,0.001951676,0.0002024319,0.001065337,0.4039921,0.01070815,0.001849866,0.04691719,0.06738468,0.000120639],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957235,0.001622107,0.001914348,0.02593868,0.0000435979,0.00009240138,0.00008310515,0.00001797614,0.0745643],"genre_scores_gemma":[0.9974038,0.0004266184,0.0005654099,0.0001630471,0.00001676998,0.00001569432,0.000008562974,0.000003064082,0.001397102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04253209,"threshold_uncertainty_score":0.08456904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09236369809066321,"score_gpt":0.3361461866714418,"score_spread":0.2437824885807786,"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."}}