{"id":"W4389452987","doi":"10.1515/9783110769579-007","title":"7 Earning Citizenship in the Country of Extreme Old Age","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Business; Demographic economics; Political science; Economics; Law","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":[0.003051765,0.0001906968,0.000249995,0.0008227544,0.01897622,0.009789296,0.0006483566,0.003899304,0.004110817],"category_scores_gemma":[0.0033748,0.0001209451,0.0002498597,0.0006488876,0.02743712,0.004141387,0.01053885,0.006096967,0.0003848382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003814008,"about_ca_system_score_gemma":0.005071556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472595,"about_ca_topic_score_gemma":0.04267991,"domain_scores_codex":[0.996079,0.00198854,0.00006311086,0.0001504779,0.000358617,0.001360324],"domain_scores_gemma":[0.9972548,0.0008482158,0.0002896708,0.0001182578,0.0003889117,0.001100118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001870143,0.00004930405,0.00590678,0.00005527281,0.000006229297,0.001818842,0.2780531,0.00005980709,0.0002404883,0.65027,0.04616436,0.01735705],"study_design_scores_gemma":[0.000009554884,0.00004538102,0.008562722,0.0003973347,0.000008711693,0.0008860495,0.4194348,0.00009950589,0.000269693,0.03301518,0.5372295,0.00004156188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3322321,0.007312909,0.001036713,0.15701,0.002938999,0.0000289655,0.00003099757,0.00002883505,0.4993805],"genre_scores_gemma":[0.9595541,0.001476956,0.0002294862,0.02034794,0.0004594045,0.00001282543,0.000009026455,0.00001497762,0.01789524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02472595,"threshold_uncertainty_score":0.04916406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1495368383231989,"score_gpt":0.3811353305869326,"score_spread":0.2315984922637337,"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."}}