{"id":"W2944665584","doi":"10.1111/caje.70050","title":"Institution, Major, and Firm-Specific Premia: Evidence from Administrative Data","year":2019,"lang":"en","type":"report","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institution; Business; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003921544,0.0001440733,0.0003613831,0.002263055,0.0004443717,0.0011386,0.0007515495,0.0003721787,0.003398077],"category_scores_gemma":[0.01887624,0.0002022283,0.000382258,0.005639771,0.0004776931,0.0005322496,0.0009818957,0.0005184258,0.0006305072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713092,"about_ca_system_score_gemma":0.0008396764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05574114,"about_ca_topic_score_gemma":0.0825806,"domain_scores_codex":[0.9975853,0.0009017683,0.0002114278,0.0003691345,0.0006230212,0.0003092962],"domain_scores_gemma":[0.9478967,0.01996696,0.02325837,0.003102044,0.003207517,0.002568381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003658859,0.00003111829,0.996997,0.00001196471,0.000071086,0.00001548841,0.00008975705,0.0001253769,0.00002934734,0.0001934519,0.0003764459,0.002022443],"study_design_scores_gemma":[0.000002610768,0.0000122005,0.9991289,0.000009170483,0.00001890449,0.000008112991,0.0001169115,0.0002370053,0.0000307776,0.00008405888,0.0003482569,0.000003072433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908913,0.0004086656,0.0004872195,0.0002751376,0.000008997896,0.00001350033,0.005436928,0.00001107846,0.002467201],"genre_scores_gemma":[0.9959656,0.0001864901,0.0001721934,0.00003268585,0.00001731389,0.000009120132,0.003233923,0.000004274524,0.0003784141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05574114,"threshold_uncertainty_score":0.1108333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3987323618873041,"score_gpt":0.2508818354898862,"score_spread":0.1478505263974179,"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."}}