{"id":"W3175816588","doi":"10.3138/utq.90.2.05","title":"Ageism and Technology: The Role of Internalized Stereotypes","year":2021,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Older people; Stereotype (UML); Psychology; Anxiety; Stereotype threat; Population; Face (sociological concept); Social psychology; Deskilling; Sociology; Work (physics); Gerontology; Medicine; Engineering; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005421531,0.0003655397,0.0003446953,0.001913089,0.003102933,0.006647407,0.0007814383,0.001359088,0.003858977],"category_scores_gemma":[0.01338459,0.0002699544,0.000442992,0.001212583,0.01241816,0.005454164,0.005688498,0.00196887,0.0001967345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003522858,"about_ca_system_score_gemma":0.002856596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847916,"about_ca_topic_score_gemma":0.01326426,"domain_scores_codex":[0.9953903,0.002506825,0.0001451938,0.0003235057,0.0009641908,0.0006699455],"domain_scores_gemma":[0.9860861,0.007666891,0.0027718,0.001058823,0.001164029,0.001252309],"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":[0.0001170297,0.0002500582,0.3177151,0.000171997,0.00007199944,0.000717744,0.4952713,0.0003210589,0.0005245291,0.1405574,0.001074711,0.043207],"study_design_scores_gemma":[0.00004249436,0.0001737358,0.4005549,0.0008364414,0.0001082274,0.00116398,0.481867,0.001415905,0.0005184872,0.09001224,0.02320421,0.0001024248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175578,0.001760423,0.002788314,0.00533756,0.00006377035,0.00003369807,0.0000469403,0.00001052127,0.07240099],"genre_scores_gemma":[0.9985307,0.0003935816,0.0002121697,0.000159646,0.00001738709,0.00000829402,0.000009750847,0.000003886535,0.0006645893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847916,"threshold_uncertainty_score":0.03674322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004917773862913168,"score_gpt":0.2142735726969991,"score_spread":0.2093557988340859,"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."}}