{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003841816,0.000321615,0.00028782,0.001654038,0.001163579,0.001146588,0.0006697716,0.000623591,0.002829976],"category_scores_gemma":[0.007084048,0.0002884463,0.001440668,0.002205906,0.0004005932,0.001483913,0.001211466,0.001518623,0.0003673004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008356682,"about_ca_system_score_gemma":0.001865996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04513467,"about_ca_topic_score_gemma":0.04071603,"domain_scores_codex":[0.9989074,0.0002455935,0.0001370441,0.0002135946,0.0002574731,0.0002388517],"domain_scores_gemma":[0.9951301,0.0007283376,0.001831625,0.0005865533,0.001009718,0.0007136668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004336215,0.00004109477,0.998418,0.000009581222,0.00006467921,0.00001596955,0.0002525755,0.0000146886,0.0000228555,0.00002734733,0.0001562224,0.0009335594],"study_design_scores_gemma":[0.000002858564,0.00006436613,0.9982972,0.00001419055,0.00005716539,0.00002619569,0.0009781081,0.000265632,0.00002598153,0.00002477593,0.0002383764,0.000005138221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997197,0.0004009772,0.0001639209,0.000186783,0.00001891817,0.00005039609,0.001124191,0.000006047644,0.0008517308],"genre_scores_gemma":[0.9981608,0.0001642816,0.0001823892,0.0000552856,0.0000194785,0.00007581087,0.0008682236,0.000004489468,0.0004692653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04513467,"threshold_uncertainty_score":0.08974391,"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."}}