{"id":"W1963494749","doi":"10.1111/j.1530-9134.2008.00187.x","title":"<scp>Covenants not to Compete, Labor Mobility, and Industry Dynamics</scp>","year":2008,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Overtaking; Dominance (genetics); Covenant; Silicon valley; Industrial organization; Microeconomics; Affect (linguistics); Economics; Business; Labour economics; Engineering; Finance; Transport engineering; Sociology; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001466673,0.0002886134,0.0007761221,0.0005041406,0.0001548108,0.000179033,0.0005148776,0.0002207769,0.00006841892],"category_scores_gemma":[0.0001078117,0.0003246739,0.0001751698,0.000260523,0.00009538774,0.0005181364,0.0002561981,0.0005086567,0.00005805491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298116,"about_ca_system_score_gemma":0.00005317756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009679096,"about_ca_topic_score_gemma":0.00008576212,"domain_scores_codex":[0.9974113,0.00003483463,0.001579422,0.0004604987,0.00005632136,0.0004575976],"domain_scores_gemma":[0.9978794,0.0001426412,0.001115805,0.0004336088,0.000102539,0.0003260034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003714849,0.0003061409,0.1724824,0.00009554166,0.0003719573,0.000123525,0.0002227021,0.004611814,0.000003562511,0.819455,0.001013234,0.001276995],"study_design_scores_gemma":[0.002157064,0.0004692354,0.7572551,0.00005666603,0.00004518118,0.0001266107,0.0008750584,0.007842237,0.00002211817,0.2095705,0.02120026,0.00037998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971425,0.0002329908,0.0005971041,0.0007294089,0.0005874831,0.0002753026,0.0003699852,0.0000138634,0.02576886],"genre_scores_gemma":[0.9933611,0.001789958,0.001340634,0.0009402736,0.0001664858,0.00000658884,0.000009684875,0.00003875878,0.002346479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6098845,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707655275559988,"score_gpt":0.2459977879827019,"score_spread":0.2089212352271021,"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."}}