{"id":"W4240807301","doi":"10.18192/aporia.v5i1.2894","title":"","year":2013,"lang":"fr","type":"article","venue":"Aporia","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Older people; Gerontology; Population ageing; Social vulnerability; Psychology; Order (exchange); Aging in place; Population; Sociology; Medicine; Business; Environmental health; Social psychology; Computer security; Psychological resilience; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008490614,0.0003335369,0.0004158677,0.00007004936,0.001960192,0.0003142326,0.0004380338,0.0002523474,0.002210635],"category_scores_gemma":[0.0003190636,0.0003326049,0.000202662,0.0007834795,0.001200498,0.001772223,0.0001082142,0.0002536014,0.001428417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524626,"about_ca_system_score_gemma":0.0001850215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6099707,"about_ca_topic_score_gemma":0.1388471,"domain_scores_codex":[0.9966571,0.0004904206,0.0005495427,0.0005372698,0.0006649016,0.001100793],"domain_scores_gemma":[0.9981724,0.0003684242,0.0002839766,0.0003496655,0.0004318712,0.000393687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002593591,0.0001256672,0.03641681,0.00002782053,0.00009985139,0.000006228175,0.6152992,0.000004108117,0.00004072802,0.1702391,0.1654798,0.01225822],"study_design_scores_gemma":[0.0004787473,0.00009567445,0.4096215,0.00005888492,0.00009499631,0.00000201404,0.01193997,0.00009214558,0.00005211387,0.1267408,0.450353,0.0004701401],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779187,0.01762703,0.0002110661,0.08562329,0.01013672,0.0006516342,0.000005528329,0.0001320899,0.007693916],"genre_scores_gemma":[0.900853,0.00568935,0.0007314173,0.00127704,0.006053451,0.0001314936,0.000005113238,0.00002142426,0.08523771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6033592,"threshold_uncertainty_score":0.9999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489082454348101,"score_gpt":0.2657055972723769,"score_spread":0.2508147727288959,"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."}}