{"id":"W3109666363","doi":"10.1016/j.eclinm.2020.100634","title":"Social media, ageism, and older adults during the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Social media; Gerontology; Disadvantaged; Medicine; Social distance; Newspaper; Political science; Sociology; Media studies; Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.002274797,0.0002809863,0.0004394008,0.001123725,0.003610172,0.004122715,0.0005173094,0.001745033,0.00589237],"category_scores_gemma":[0.009783405,0.000232425,0.0004393847,0.001234232,0.0009946858,0.004766999,0.003594268,0.003292804,0.0008482408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337504,"about_ca_system_score_gemma":0.001242112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078187,"about_ca_topic_score_gemma":0.03265174,"domain_scores_codex":[0.9986466,0.0005368452,0.00009522191,0.0001260664,0.0002610816,0.0003342162],"domain_scores_gemma":[0.9959823,0.0007890778,0.001240146,0.0001150471,0.0005548058,0.001318664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006836685,0.0006269893,0.4840787,0.001121967,0.0002534007,0.0009965769,0.1592511,0.00008510685,0.0004371708,0.008116334,0.1386765,0.2056724],"study_design_scores_gemma":[0.00006231438,0.0003851144,0.7557731,0.002766648,0.0002440465,0.000989878,0.1187982,0.000182288,0.000131051,0.003687141,0.1168851,0.00009516237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722746,0.03572547,0.0003227955,0.1230382,0.002383978,0.0002105732,0.004737115,0.00005723904,0.06124999],"genre_scores_gemma":[0.9435482,0.02258769,0.0003678473,0.02326945,0.002737227,0.0001980269,0.001455496,0.00004576235,0.005790313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02078187,"threshold_uncertainty_score":0.04132181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1823838079394332,"score_gpt":0.4836732467033759,"score_spread":0.3012894387639427,"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."}}