{"id":"W4392176423","doi":"10.46692/9781447358244.003","title":"Retirement migration","year":2023,"lang":"en","type":"other","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographic economics; Geography; Economics","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":[0.0007758796,0.0003842587,0.0002592732,0.0007876753,0.002957243,0.002470804,0.0008237883,0.001156362,0.247765],"category_scores_gemma":[0.002057338,0.00013593,0.000305881,0.0009181896,0.0005838185,0.001626702,0.003330095,0.001249407,0.07930156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560699,"about_ca_system_score_gemma":0.002872721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008212183,"about_ca_topic_score_gemma":0.01542418,"domain_scores_codex":[0.9993881,0.0001350579,0.00004249878,0.00009687637,0.0001380267,0.0001993329],"domain_scores_gemma":[0.9993873,0.00007666411,0.00006552934,0.00006783286,0.0002323255,0.0001703587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004527875,0.0000718726,0.006479088,0.0004308278,0.000005318065,0.0003363043,0.008192659,0.00009631587,0.0001881191,0.04623674,0.6835306,0.2543869],"study_design_scores_gemma":[0.000003234353,0.00001580797,0.003801026,0.0002095407,0.000001320943,0.0001108281,0.002756527,0.0000170782,0.0000273145,0.001328503,0.9917241,0.000004793283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02617411,0.00721377,0.001132317,0.0273568,0.005373518,0.000269531,0.006514541,0.0003567007,0.9256086],"genre_scores_gemma":[0.07778568,0.006039512,0.001302916,0.007635267,0.001402987,0.0001853956,0.003697702,0.0001173721,0.9018333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.247765,"threshold_uncertainty_score":0.8288566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797536498897558,"score_gpt":0.3180945659933271,"score_spread":0.2901192010043516,"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."}}