{"id":"W2896552573","doi":"10.2139/ssrn.3171829","title":"Innovation and Knowledge Protection: How Firms Respond to a Loophole in Non-Compete Enforcement","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Enforcement; Industrial organization; Law and economics; Computer security; Economics; Computer science; Law; Political science","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":[0.0109569,0.0003205943,0.0007427396,0.001888457,0.00371458,0.01366041,0.002318686,0.01225017,0.02537734],"category_scores_gemma":[0.0506019,0.0004921549,0.0007911952,0.001454851,0.01723535,0.01768829,0.008032827,0.004805881,0.001450257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002963463,"about_ca_system_score_gemma":0.006088763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003498516,"about_ca_topic_score_gemma":0.002841669,"domain_scores_codex":[0.9930283,0.002822069,0.0002539469,0.001122393,0.001240879,0.001532379],"domain_scores_gemma":[0.9486121,0.0355655,0.005141117,0.005319807,0.002744545,0.002616982],"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":[0.0002226268,0.0002934573,0.006984809,0.0001303529,0.00005288596,0.0005980247,0.007184538,0.002760698,0.001275177,0.9496615,0.004850911,0.02598493],"study_design_scores_gemma":[0.00007820148,0.00008110517,0.003084771,0.0000775106,0.00002761523,0.0001149654,0.004602778,0.004673995,0.0005824449,0.9751464,0.01149082,0.00003931899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4975629,0.001468494,0.05222335,0.07401488,0.0002988573,0.0001704953,0.0001509005,0.0003448695,0.3737652],"genre_scores_gemma":[0.9941651,0.00009516789,0.0009072098,0.0007915029,0.00004831137,0.00002415339,0.000009549304,0.00001854607,0.003940411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02537734,"threshold_uncertainty_score":0.08489561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05052006266097732,"score_gpt":0.2384808131616913,"score_spread":0.187960750500714,"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."}}