{"id":"W4387037261","doi":"10.24148/wp2023-26","title":"Floating Population: Migration With(Out) Family and the Spatial Distribution of Economic Activity","year":2023,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Consumption (sociology); China; Demographic economics; Economics; Distribution (mathematics); Population; Labour economics; Business; Geography; Sociology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007861078,0.0001146786,0.0002402305,0.00004004668,0.0006590548,0.0001245268,0.0001329933,0.00008620709,0.00003802148],"category_scores_gemma":[0.0001891646,0.00008636527,0.00005437728,0.0002465445,0.000402979,0.0004277572,0.00004578186,0.000113018,0.000002763266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005606579,"about_ca_system_score_gemma":0.00008673801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01516834,"about_ca_topic_score_gemma":0.4020874,"domain_scores_codex":[0.9987684,0.0002485912,0.0002892271,0.0001819358,0.000312952,0.0001988819],"domain_scores_gemma":[0.9992278,0.000230727,0.0002634822,0.0001555435,0.00008163578,0.00004080261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004360669,0.00008820479,0.6359693,0.0002637484,0.000234511,0.000005440177,0.09257146,0.007365568,0.006295033,0.1960455,0.00246197,0.0543386],"study_design_scores_gemma":[0.001281506,0.0001318023,0.9697564,0.0002020537,0.00003149647,6.990865e-7,0.008660378,0.006394524,0.0004429466,0.002916496,0.009913914,0.0002678363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995249,0.000111793,0.0004457054,0.002079381,0.0002194713,0.0002730103,0.0000287711,0.00005221849,0.001540662],"genre_scores_gemma":[0.9989445,0.0001917611,0.0001113393,0.0000308575,0.0001623435,0.00001344581,0.00009164606,0.00001001242,0.0004441339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.386919,"threshold_uncertainty_score":0.9913898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050037410247092,"score_gpt":0.2711029786047209,"score_spread":0.25060260450225,"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."}}