{"id":"W4388469480","doi":"10.2139/ssrn.4597388","title":"Talent Market Competition and Firm Growth","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Business; Competition (biology); Industrial organization","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":[0.001838777,0.0002043151,0.0003857248,0.001821915,0.0005589979,0.003254294,0.0003620091,0.00121702,0.01861246],"category_scores_gemma":[0.01084132,0.0001054687,0.0002963445,0.001689973,0.001049759,0.001887464,0.001106678,0.0009599649,0.001125755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185406,"about_ca_system_score_gemma":0.0006304564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003527439,"about_ca_topic_score_gemma":0.004428336,"domain_scores_codex":[0.9994463,0.0002327159,0.00002224522,0.00004992341,0.00007967748,0.000168986],"domain_scores_gemma":[0.9809172,0.01163356,0.00331426,0.0002673824,0.0007278265,0.003139774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002032792,0.001726659,0.7574865,0.0002675236,0.0004233571,0.002749298,0.00166273,0.02565978,0.002265221,0.1307241,0.008246196,0.06675567],"study_design_scores_gemma":[0.0002142399,0.0008481534,0.77694,0.0001397692,0.0002246699,0.0007890933,0.004813665,0.04983743,0.001483138,0.1556214,0.008988244,0.000100061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974479,0.001436385,0.0009434471,0.001699509,0.00002928825,0.000007916161,0.0002216509,0.0000341042,0.02114874],"genre_scores_gemma":[0.9972129,0.0001584398,0.00004589981,0.00005196113,0.00004047933,0.000001962921,0.00005692252,0.000003438234,0.002427983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01861246,"threshold_uncertainty_score":0.06226492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332514099219922,"score_gpt":0.2020440138647565,"score_spread":0.1887188728725573,"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."}}