{"id":"W3127336084","doi":"10.2139/ssrn.3357662","title":"Estimating the Gains From Trade in Frictional Labor Markets","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Economics; Labour 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":[0.004197157,0.0006071812,0.0009880447,0.001028262,0.0004693441,0.002714912,0.0008641198,0.002246347,0.004081306],"category_scores_gemma":[0.02931715,0.0007620041,0.0006358593,0.001145072,0.001175964,0.00290718,0.001262018,0.001709111,0.0003987227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113251,"about_ca_system_score_gemma":0.0008952462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009385986,"about_ca_topic_score_gemma":0.006612898,"domain_scores_codex":[0.9992907,0.0003503682,0.00003851256,0.0001248333,0.00005586401,0.0001397324],"domain_scores_gemma":[0.9723943,0.02488047,0.00132212,0.000664992,0.0002314912,0.0005065055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001166361,0.0004253072,0.08669771,0.0001556556,0.0001886409,0.0003481624,0.0002483662,0.8605011,0.0004878218,0.02119086,0.001209955,0.02738013],"study_design_scores_gemma":[0.0001537119,0.0002192495,0.01983782,0.00003315045,0.00006943296,0.00005889412,0.0004313757,0.9421197,0.0004194873,0.03615168,0.0004784039,0.0000271289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830147,0.0004719093,0.01339815,0.0005375922,0.00002314693,0.00002950639,0.000275816,0.00006523667,0.002183834],"genre_scores_gemma":[0.9971691,0.0001041383,0.001771485,0.000018253,0.00001619784,0.000006254181,0.000146731,0.000005552874,0.0007623803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009385986,"threshold_uncertainty_score":0.02219689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214193583345405,"score_gpt":0.2083776201769793,"score_spread":0.1869582618424387,"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."}}