{"id":"W3034323528","doi":"10.2196/20321","title":"Digital Media as a Proponent for Healthy Aging in the Older Chinese American Population: Longitudinal Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population ageing; Gerontology; Healthy aging; Longitudinal study; History; Psychology; Population; Demography; Sociology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001239023,0.0001623137,0.0003863973,0.0002085633,0.0006522625,0.00008430034,0.0002528245,0.00005207687,0.0001684888],"category_scores_gemma":[0.0005581551,0.0001053219,0.0001326725,0.00187205,0.00003929769,0.001021179,0.00007695643,0.000537177,0.00005764409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511137,"about_ca_system_score_gemma":0.0001799464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006242375,"about_ca_topic_score_gemma":0.0002770917,"domain_scores_codex":[0.9972748,0.0003140095,0.001247874,0.000310342,0.0003427836,0.0005101957],"domain_scores_gemma":[0.9980728,0.0007584934,0.0005456356,0.0002870964,0.0001236607,0.000212284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007129558,0.00004114823,0.9525031,0.000360893,0.00001867869,0.000001383857,0.03499168,0.00004646405,2.897169e-7,0.0001685587,0.0004214732,0.01137507],"study_design_scores_gemma":[0.0005839628,0.0000454414,0.9706079,0.00006153436,0.00001981514,6.093799e-7,0.005204157,0.0171403,1.621125e-7,0.0001366633,0.006076795,0.0001226158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627953,0.00004069675,0.005305995,0.02834524,0.0001445376,0.002053804,0.00005125056,0.00009684401,0.001166364],"genre_scores_gemma":[0.9793124,0.000004194757,0.0004674699,0.01880333,0.0004539277,0.0005676339,0.0003482583,0.000012202,0.000030611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02978752,"threshold_uncertainty_score":0.5016742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05530938855060732,"score_gpt":0.4702902492093415,"score_spread":0.4149808606587342,"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."}}