{"id":"W2116576979","doi":"10.1093/geront/40.3.261","title":"Introduction","year":2000,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audience measurement; Library science; Field (mathematics); Sociology; White (mutation); State (computer science); Gerontology; Association (psychology); Political science; Media studies; Psychology; Law; Medicine","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":[0.001708028,0.0007115724,0.000498654,0.001212581,0.002418574,0.005590585,0.001953615,0.003568752,0.408041],"category_scores_gemma":[0.00703254,0.0002446689,0.0005210362,0.001268943,0.0008211092,0.00377885,0.002783142,0.002448513,0.2320201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004188,"about_ca_system_score_gemma":0.002901027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003422182,"about_ca_topic_score_gemma":0.003380763,"domain_scores_codex":[0.998467,0.0002479281,0.00007816253,0.0003398528,0.0006350441,0.0002319308],"domain_scores_gemma":[0.9969657,0.0004348269,0.000144617,0.0002531324,0.001512627,0.0006891827],"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":[0.00002780967,0.00002735861,0.0004130046,0.0001392413,0.000002155084,0.00008162213,0.0004533696,0.0000528112,0.0001505031,0.02306271,0.8974815,0.07810789],"study_design_scores_gemma":[0.000001804632,0.000009872036,0.0002577314,0.0000968181,7.325629e-7,0.00005220022,0.0002018047,0.00001384902,0.00002839934,0.002753089,0.9965804,0.000003333975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002291058,0.01025688,0.005448058,0.07867356,0.04783972,0.0003564964,0.005883554,0.001275438,0.8479753],"genre_scores_gemma":[0.01319106,0.006309888,0.00302514,0.02117834,0.008374752,0.0002644423,0.004888678,0.0003785274,0.9423892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.591959,"threshold_uncertainty_score":0.8443577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984464681970166,"score_gpt":0.2927260298066828,"score_spread":0.2728813829869812,"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."}}