{"id":"W3124824990","doi":"","title":"Sorting it Out: International Trade with Heterogeneous Workers","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Distribution (mathematics); Sorting; Bundle; Business; Labour economics; Economics; Computer science; Mathematics","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":[0.001844635,0.0004768146,0.001230199,0.0006777825,0.002177424,0.004483051,0.0007616869,0.002140791,0.0115712],"category_scores_gemma":[0.004936052,0.0003335461,0.0006886294,0.00144364,0.003001094,0.005180324,0.002106108,0.001721132,0.0004873354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004824,"about_ca_system_score_gemma":0.0008775017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009092884,"about_ca_topic_score_gemma":0.007395572,"domain_scores_codex":[0.9992108,0.0002454587,0.00002927243,0.0001949509,0.00007073871,0.0002486313],"domain_scores_gemma":[0.997421,0.001032218,0.0008715965,0.0003217154,0.00008186879,0.0002716082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004512137,0.0003097924,0.05019334,0.0001199298,0.0001819889,0.002794116,0.003389778,0.0551555,0.00111952,0.8215443,0.01040839,0.0543322],"study_design_scores_gemma":[0.000178738,0.00008323368,0.01623697,0.0001106822,0.00006045356,0.0004108675,0.004163884,0.07012922,0.0004167626,0.901653,0.006480438,0.00007575869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816038,0.001351097,0.04714037,0.00761994,0.0001704588,0.00007159988,0.0004345808,0.0001124563,0.06149566],"genre_scores_gemma":[0.9937989,0.0002925877,0.001463911,0.0004455961,0.00006799634,0.00001629928,0.00007049629,0.00001249683,0.003831618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0115712,"threshold_uncertainty_score":0.03870952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153478700222384,"score_gpt":0.2359836269611987,"score_spread":0.2206357569389603,"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."}}