{"id":"W4404581579","doi":"10.1016/j.jbvi.2024.e00505","title":"Not all leavers are equal: How rank and destination influence enforcement of restrictive covenants","year":2024,"lang":"en","type":"article","venue":"Journal of Business Venturing Insights","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Covenant; Enforcement; Business; Rank (graph theory); Labour economics; Demographic economics; Mathematics; Economics; Political science; Law; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004963514,0.0001689624,0.0003827331,0.0009265,0.00278476,0.00555419,0.0008762314,0.0008596769,0.01168366],"category_scores_gemma":[0.04088511,0.0001591652,0.0003694567,0.001021335,0.002051863,0.001974304,0.001858144,0.001823122,0.001317827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587464,"about_ca_system_score_gemma":0.003184228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1563943,"about_ca_topic_score_gemma":0.236498,"domain_scores_codex":[0.9957883,0.001454296,0.0001940826,0.0003448607,0.0009759865,0.001242437],"domain_scores_gemma":[0.9673614,0.01225863,0.0104163,0.001436949,0.003711171,0.004815591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003520898,0.0001831541,0.9489461,0.00004709716,0.0001049377,0.0004664274,0.01103063,0.0004514981,0.0002350669,0.005119231,0.005704559,0.02735923],"study_design_scores_gemma":[0.00003420163,0.0001425503,0.9189725,0.0003074817,0.0001144954,0.0002555302,0.05894619,0.001755336,0.0002944031,0.004063082,0.01504713,0.00006713926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976572,0.0005242361,0.0004643239,0.002530511,0.00004668065,0.00002729116,0.0002070508,0.00001266154,0.01961518],"genre_scores_gemma":[0.9961743,0.0001290428,0.00008618612,0.0001788102,0.00001574323,0.000003921804,0.0001106579,0.00001452607,0.003286596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563943,"threshold_uncertainty_score":0.3109681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763350581736548,"score_gpt":0.2245467795271478,"score_spread":0.1969132737097823,"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."}}