{"id":"W4286622582","doi":"10.5465/ambpp.2022.12914abstract","title":"Employee Mobility: Leaver Vulnerability to Enforcement of Restrictive Covenants","year":2022,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Wilfrid Laurier University","funders":"","keywords":"Covenant; Ranking (information retrieval); Competitor analysis; Enforcement; Business; Vulnerability (computing); Work (physics); Turnover; Law enforcement; Labour economics; Economics; Marketing; Political science; Law; Management; Engineering; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006049876,0.00015062,0.0002906911,0.002167555,0.003400235,0.00262722,0.001004965,0.001243371,0.004074953],"category_scores_gemma":[0.04262824,0.0001863112,0.0002807637,0.001919934,0.002381562,0.001347084,0.002202824,0.002131222,0.0003078898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159853,"about_ca_system_score_gemma":0.004015071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1757339,"about_ca_topic_score_gemma":0.2842713,"domain_scores_codex":[0.9921857,0.001455743,0.0005445282,0.0007970712,0.002789585,0.00222748],"domain_scores_gemma":[0.9329932,0.01752574,0.03901815,0.003800409,0.003762302,0.002900259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001195108,0.00006941777,0.9516461,0.00004752273,0.00005224744,0.0009298488,0.01735188,0.0003910177,0.000609121,0.004983912,0.001742244,0.02205721],"study_design_scores_gemma":[0.000005689278,0.00005211143,0.9678681,0.0001641319,0.00002969794,0.0006615007,0.02392956,0.0008261782,0.0003991711,0.001270426,0.004755527,0.00003779678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857886,0.0002620604,0.0005904215,0.0009608772,0.00001195956,0.00003761287,0.0001401542,0.00001017969,0.01219803],"genre_scores_gemma":[0.9985932,0.00008209785,0.00008695474,0.0001294178,0.000008797524,0.000006852218,0.00005831772,0.000002903779,0.00103149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1757339,"threshold_uncertainty_score":0.3494221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893050664159945,"score_gpt":0.2532880142964652,"score_spread":0.2243575076548658,"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."}}