{"id":"W2474920297","doi":"","title":"IMMIGRATION A ND T HE T RADE O F PROVINCES","year":2002,"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":true,"ca_institutions":"","funders":"","keywords":"Immigration; Gravity model of trade; Estimation; Economics; Variation (astronomy); Demographic economics; International trade; Econometrics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004112057,0.00022984,0.0003571373,0.001105785,0.001574272,0.001968857,0.0004021334,0.0002242827,0.01050858],"category_scores_gemma":[0.00178607,0.0001587801,0.0007133163,0.002112088,0.001138842,0.0006793843,0.001408586,0.0007692218,0.0006003289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004659657,"about_ca_system_score_gemma":0.006317995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7280277,"about_ca_topic_score_gemma":0.7864167,"domain_scores_codex":[0.9994913,0.00004971366,0.00002076992,0.00007942856,0.0001528429,0.0002058559],"domain_scores_gemma":[0.9994621,0.00007306572,0.0001407217,0.0000644906,0.0001363724,0.0001232059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003737231,0.000113052,0.7303801,0.0003164337,0.0003781454,0.0005132104,0.004430206,0.006005515,0.002017422,0.08868146,0.01150799,0.1552828],"study_design_scores_gemma":[0.00007535196,0.0001386901,0.8912109,0.0002600363,0.0002252355,0.0003616988,0.006710222,0.004106767,0.0007215203,0.006055391,0.09008492,0.00004924306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8855782,0.001800845,0.002865514,0.001562304,0.0001244783,0.00006258512,0.002380516,0.0001049626,0.1055206],"genre_scores_gemma":[0.9775597,0.0009970556,0.001529617,0.0001445638,0.00002306877,0.00001839593,0.0008783524,0.00001742654,0.01883184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7280277,"threshold_uncertainty_score":0.547148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659659664738815,"score_gpt":0.1883457980139649,"score_spread":0.1617492013665768,"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."}}