{"id":"W2035129477","doi":"10.1080/02508281.2007.11081545","title":"Population Ageing, Tourism and Travel Insurance","year":2007,"lang":"en","type":"article","venue":"Tourism Recreation Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Section (typography); Population; Sociology; Library science; Advertising; Management; Geography; Business; Demography; Economics; Computer science; Archaeology","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":[0.0006246605,0.0001321771,0.0002725745,0.001593235,0.0004373893,0.0009697773,0.0001930946,0.000511159,0.03032058],"category_scores_gemma":[0.004407608,0.00008420776,0.0001679683,0.002385741,0.0002866315,0.0006515041,0.000648817,0.00058311,0.00265038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808104,"about_ca_system_score_gemma":0.001529048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02931298,"about_ca_topic_score_gemma":0.04686682,"domain_scores_codex":[0.9995428,0.000177139,0.0000338213,0.00002336855,0.0001374046,0.00008550478],"domain_scores_gemma":[0.9984732,0.0004277955,0.0002585084,0.00003846484,0.0002097178,0.0005922466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001249686,0.0001845958,0.1888361,0.0004413281,0.00006187643,0.0003991724,0.001265878,0.0003538913,0.0001118866,0.02218584,0.4654574,0.3205771],"study_design_scores_gemma":[0.00001144104,0.0001345177,0.7022806,0.0004872943,0.00002676545,0.0004955896,0.001927127,0.00036033,0.00002577715,0.003398417,0.2908361,0.00001609368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1655582,0.2579728,0.0005712087,0.1654669,0.007839233,0.0001572675,0.01091953,0.0001312182,0.3913836],"genre_scores_gemma":[0.6393148,0.2014515,0.0003461533,0.005978487,0.008279527,0.0001520902,0.004434954,0.00004589737,0.1399965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03032058,"threshold_uncertainty_score":0.1014324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773461804447469,"score_gpt":0.4235155333649422,"score_spread":0.3461693529201954,"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."}}