{"id":"W3122133749","doi":"","title":"Knowledge Diffusion through Employee Mobility","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Diffusion; Mechanism (biology); Labour economics; Industrial organization; Microeconomics; Marketing; Economics","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":[0.002691518,0.0004262597,0.0005131518,0.001141168,0.001059277,0.002652149,0.0007955256,0.002310058,0.01100234],"category_scores_gemma":[0.01261787,0.0003103586,0.0007920826,0.001080279,0.002143214,0.004908693,0.003034523,0.0009494229,0.001022593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495489,"about_ca_system_score_gemma":0.000986659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357591,"about_ca_topic_score_gemma":0.00170764,"domain_scores_codex":[0.9982021,0.0008185602,0.00005226512,0.0003815761,0.0001691129,0.0003764147],"domain_scores_gemma":[0.9922684,0.004825572,0.00135267,0.0008666796,0.0003698898,0.0003168712],"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":[0.0003264649,0.0002266424,0.01838613,0.000254461,0.0001352159,0.0005802576,0.003776247,0.06122357,0.003955751,0.8053549,0.002701069,0.1030793],"study_design_scores_gemma":[0.0002250168,0.000228443,0.009893315,0.0001157481,0.0001218724,0.000543138,0.001738657,0.1242754,0.002453443,0.8422855,0.01802932,0.00009020921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.690555,0.001219055,0.201322,0.006468068,0.00006508324,0.0001844352,0.0003596695,0.0003382589,0.09948825],"genre_scores_gemma":[0.9890303,0.0002994426,0.004847406,0.0001133899,0.00002258664,0.00005472162,0.00003437247,0.00001147765,0.00558615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01100234,"threshold_uncertainty_score":0.03680646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150568579374241,"score_gpt":0.2401514595390498,"score_spread":0.2186457737453074,"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."}}