{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01206939,0.0001458839,0.0002197823,0.0008363818,0.00165126,0.0004084616,0.000444812,0.0002669198,0.0005927625],"category_scores_gemma":[0.002649772,0.0001540325,0.00005891266,0.001149922,0.0006273253,0.0007040179,0.0001570185,0.0007167451,0.0002555984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201619,"about_ca_system_score_gemma":0.0001637304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03269251,"about_ca_topic_score_gemma":0.003673172,"domain_scores_codex":[0.994853,0.0008317266,0.0003391968,0.0004932419,0.002385867,0.001097016],"domain_scores_gemma":[0.9973933,0.001011801,0.0001189162,0.0003331342,0.000631138,0.0005117045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00067883,0.0006013835,0.2298222,0.0001372692,0.0001225511,0.004117493,0.01982983,0.0000199375,0.003578314,0.1342796,0.10932,0.4974926],"study_design_scores_gemma":[0.0005805483,0.00008795353,0.9436286,0.00005955413,0.000005328046,0.000003387416,0.007325934,0.00005305982,0.0006066334,0.01518562,0.03221999,0.0002434098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981051,0.0003430042,0.0003811347,0.00366843,0.0001663558,0.0007284843,0.000005472104,0.0001106795,0.1964914],"genre_scores_gemma":[0.9722466,0.0006609216,0.00110543,0.00005764654,0.001008791,0.00002285693,0.00001690504,0.00002667948,0.02485416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7138064,"threshold_uncertainty_score":0.9996485,"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."}}