{"id":"W4417436952","doi":"10.2139/ssrn.5930656","title":"Winners and Losers: Competition, Creative Destruction, and Labor Income Risk","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Monopsony; Welfare; Downside risk; Profit (economics); Distribution (mathematics); Unemployment; Product market","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":[0.002046199,0.0001649896,0.0006092071,0.0006645113,0.0008352376,0.002983776,0.0005358372,0.001114249,0.009407638],"category_scores_gemma":[0.00885537,0.0001502636,0.000225989,0.000710621,0.002060042,0.001906942,0.001277101,0.001283234,0.0003904801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059451,"about_ca_system_score_gemma":0.000310182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317686,"about_ca_topic_score_gemma":0.002663007,"domain_scores_codex":[0.9993679,0.0002272104,0.00003034037,0.0000995725,0.0000928688,0.0001820651],"domain_scores_gemma":[0.9905732,0.006188547,0.001547054,0.0002977079,0.0001679208,0.001225557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001994136,0.000847977,0.5777961,0.000184216,0.0003015041,0.001018579,0.007164471,0.01192348,0.001539762,0.3015727,0.01083892,0.08481813],"study_design_scores_gemma":[0.0001614408,0.0003498057,0.4268743,0.0001302955,0.0001305703,0.0005124905,0.01304507,0.04317091,0.0003807388,0.5114465,0.003712358,0.00008552676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836835,0.001341051,0.002184307,0.003388102,0.00002971561,0.00001250317,0.00007730626,0.00000720675,0.009276371],"genre_scores_gemma":[0.9988855,0.0001408279,0.00006229547,0.00003528826,0.00003204593,0.000002715285,0.00001559386,0.00000161259,0.0008242289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009407638,"threshold_uncertainty_score":0.03147167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007086182901903583,"score_gpt":0.2204607153078278,"score_spread":0.2133745324059242,"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."}}