{"id":"W4220954343","doi":"10.1002/smj.3404","title":"How innovating firms manage knowledge leakage: A natural experiment on the threat of worker departure","year":2022,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Seoul National University; Ewing Marion Kauffman Foundation","keywords":"Secrecy; Exploit; Enforcement; Business; Leakage (economics); Possession (linguistics); Limiting; Natural experiment; Marketing; Industrial organization; Economics; Law; Computer security","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":[0.007413052,0.0004462622,0.0005436948,0.0003428848,0.001493204,0.002702379,0.001423457,0.002757558,0.006755895],"category_scores_gemma":[0.01875849,0.0003922517,0.0004755079,0.0003492724,0.002353695,0.001736489,0.001750786,0.002505635,0.0004585316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895579,"about_ca_system_score_gemma":0.002064352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090525,"about_ca_topic_score_gemma":0.00279867,"domain_scores_codex":[0.9958472,0.002099719,0.0002256036,0.0006349399,0.0006064784,0.0005861271],"domain_scores_gemma":[0.9578766,0.0268587,0.009121764,0.003822842,0.0008287627,0.001491296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0567863,0.1423544,0.2390248,0.003040411,0.001290875,0.00454124,0.02091578,0.08226663,0.1396419,0.1517318,0.01548215,0.1429237],"study_design_scores_gemma":[0.03015536,0.1504556,0.2793398,0.0008849509,0.00132899,0.0008024262,0.02659927,0.1330703,0.06920904,0.243427,0.06364824,0.001078967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989741,0.00006291841,0.001450417,0.0006889918,0.0000263356,0.0004312261,0.0001399832,0.00001836754,0.007440832],"genre_scores_gemma":[0.9958097,0.0000512116,0.001544104,0.0004471736,0.00001704929,0.000495756,0.00004190929,0.000004146694,0.001589024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007413052,"threshold_uncertainty_score":0.03920442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124283092459346,"score_gpt":0.2471395342255543,"score_spread":0.1228564417662083,"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."}}