{"id":"W4242752572","doi":"10.1332/policypress/9781447352563.003.0001","title":"Introduction","year":2021,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Discipline; Population ageing; Political science; Sociology; Population; Gerontology; Public relations; Social science; Medicine; Demography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006929487,0.0007674924,0.0005529776,0.001518951,0.004748985,0.006288575,0.001906231,0.002657959,0.3559184],"category_scores_gemma":[0.002500678,0.0002994441,0.0004930311,0.002316329,0.001392904,0.003044824,0.002651317,0.002079174,0.1513086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008460098,"about_ca_system_score_gemma":0.009237027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.10714,"about_ca_topic_score_gemma":0.1650404,"domain_scores_codex":[0.9988102,0.00009941288,0.00003564969,0.0002199132,0.0006428811,0.0001921137],"domain_scores_gemma":[0.9988869,0.0001040073,0.00003060929,0.00009677664,0.0006881842,0.0001935602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002011859,0.00002293613,0.0003109403,0.0002269281,0.000002595958,0.0001511782,0.001178403,0.0001073674,0.0002830248,0.08957542,0.7781914,0.1299296],"study_design_scores_gemma":[6.241656e-7,0.000002077382,0.0001002356,0.00006514605,5.058626e-7,0.00004071533,0.0001415103,0.00000782096,0.00002191101,0.001157274,0.9984601,0.000002091829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006849486,0.007394085,0.001890272,0.00719947,0.003675068,0.00009854211,0.002021027,0.0004340406,0.9766027],"genre_scores_gemma":[0.005162148,0.006601195,0.001970853,0.002534676,0.0006946798,0.00005933125,0.001783797,0.0002190529,0.9809744],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6440816,"threshold_uncertainty_score":0.9187042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04215775455855042,"score_gpt":0.3086887516947868,"score_spread":0.2665309971362364,"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."}}