{"id":"W2031099854","doi":"10.1002/ijpg.232","title":"The International Dispersal of Pensioners from Affluent Countries","year":2001,"lang":"en","type":"article","venue":"International Journal of Population Geography","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Destinations; Amenity; Distribution (mathematics); Social security; Population; Geography; Human migration; German; Biological dispersal; Tourism; Economic growth; Development economics; Demographic economics; Economic geography; Economy; Economics; Sociology; Finance","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":[0.0004115885,0.0001317316,0.0001760371,0.001657029,0.0006727246,0.0009169403,0.0002200327,0.0001850326,0.005283454],"category_scores_gemma":[0.001930429,0.0000639488,0.0001282327,0.001446638,0.0004597709,0.0007256662,0.001520453,0.00033414,0.0005261136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003309992,"about_ca_system_score_gemma":0.0002932495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066231,"about_ca_topic_score_gemma":0.01216189,"domain_scores_codex":[0.9997332,0.00006637978,0.00003171494,0.00004322419,0.00003181858,0.00009365469],"domain_scores_gemma":[0.9989454,0.0001150841,0.0004993969,0.00006335721,0.0001964313,0.0001802077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002159305,0.00007376256,0.8785507,0.0001732089,0.00007166671,0.000718849,0.03781292,0.0003087257,0.001108829,0.006121631,0.003924565,0.07091918],"study_design_scores_gemma":[0.00000773257,0.00009868002,0.9620649,0.0001250332,0.00002048237,0.0006931805,0.02203173,0.000101077,0.000214048,0.0004540796,0.01417824,0.00001091675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904791,0.0009836424,0.00007932344,0.0003164482,0.00001406538,0.00000966359,0.0002738245,0.000004789215,0.007839179],"genre_scores_gemma":[0.996729,0.001037637,0.00006887974,0.00008350678,0.00002036594,0.000006460604,0.000230888,0.000003107344,0.001820244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066231,"threshold_uncertainty_score":0.02120054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009819273914638545,"score_gpt":0.2942465932323248,"score_spread":0.2844273193176863,"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."}}