{"id":"W7095778233","doi":"","title":"SUPERIOR-SUBORDINATE KNOWLEDGE TRANSFER: WHAT SUPERIOR-SUBORDINATE KNOWLEDGE TRANSFER STRATEGIES ARE FAVORED BY HIGHLY EFFECTIVE GENERAL MANAGERS TO CREATE VALUE FOR THEIR ORGANIZATIONS?","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge transfer; Knowledge value chain; Dyad; Asset (computer security); Knowledge sharing; Value (mathematics); Personal knowledge management; Knowledge base; Knowledge economy","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":[0.005869508,0.0002151504,0.0003150102,0.001279546,0.00305582,0.002614243,0.000708736,0.0009607537,0.001998877],"category_scores_gemma":[0.01337424,0.0001657239,0.000138553,0.0009295651,0.004498707,0.002794107,0.001915997,0.0009083399,0.0001516677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004614576,"about_ca_system_score_gemma":0.004188868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178971,"about_ca_topic_score_gemma":0.03396034,"domain_scores_codex":[0.9946764,0.002637113,0.0001419072,0.0003469667,0.0006660901,0.001531553],"domain_scores_gemma":[0.9911857,0.004144857,0.001589217,0.0002984021,0.0009838332,0.00179802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009322484,0.0001004895,0.1064055,0.0002171799,0.00001582997,0.0008400629,0.8609631,0.00009589432,0.002187206,0.00455374,0.001165316,0.02336243],"study_design_scores_gemma":[0.00000781041,0.00007403989,0.04747112,0.00008787367,0.000009007577,0.0002467105,0.9449812,0.0001768407,0.0003125692,0.001050841,0.005565759,0.00001632257],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936802,0.0001538133,0.0004219785,0.0009602861,0.000006923571,0.00001916054,0.00001275816,0.000006014121,0.004738781],"genre_scores_gemma":[0.9991927,0.00004840066,0.0001252604,0.0001534946,0.000002511062,0.000007525082,0.000004825707,0.000001759326,0.0004636146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02178971,"threshold_uncertainty_score":0.04332572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416151871554083,"score_gpt":0.2142604799040601,"score_spread":0.2000989611885192,"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."}}