{"id":"W2118988972","doi":"10.3386/w10945","title":"Demographic Changes and International Factor Mobility","year":2004,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distribution (mathematics); Demographic economics; Economics; Variety (cybernetics); Geographic mobility; Human migration; Capital (architecture); Demographic change; Economic geography; Labor mobility; Geography; Development economics; Population; Labour economics; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000334068,0.0002128076,0.0001359436,0.001397001,0.0003374109,0.001015835,0.0001558425,0.0004073191,0.009302939],"category_scores_gemma":[0.002012202,0.00007728807,0.0002848645,0.002272815,0.0006325319,0.001304293,0.0007173031,0.0004603103,0.0004998342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007770308,"about_ca_system_score_gemma":0.0003753819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007443537,"about_ca_topic_score_gemma":0.008296682,"domain_scores_codex":[0.999774,0.0000641401,0.00001267044,0.0000298125,0.00003893489,0.00008046903],"domain_scores_gemma":[0.9991135,0.0002597652,0.0003825226,0.00002876321,0.0001284095,0.00008704039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215647,0.0001467752,0.3787039,0.0005939645,0.0001162107,0.001218075,0.004650254,0.008345872,0.0006265533,0.2136197,0.01547215,0.376285],"study_design_scores_gemma":[0.00001694393,0.0002579577,0.5785577,0.0008682334,0.0000576174,0.001812455,0.01284692,0.00148161,0.0005781354,0.0440995,0.3593641,0.00005877571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834268,0.09835164,0.006138752,0.0294904,0.0006960767,0.00007170531,0.001948283,0.00006360098,0.2798127],"genre_scores_gemma":[0.9250714,0.06400127,0.0005979051,0.0006815419,0.0005124389,0.00002440719,0.0004250335,0.000009068599,0.008676953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009302939,"threshold_uncertainty_score":0.03112143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2470718725477452,"score_gpt":0.5083100611228085,"score_spread":0.2612381885750633,"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."}}