{"id":"W4296053886","doi":"10.3389/fsoc.2022.957246","title":"Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sociology","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Institute on Aging","keywords":"Sociology; Nursing; Medicine; Engineering ethics; Environmental ethics; Engineering; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004920067,0.00005919708,0.000193922,0.000171743,0.0001279484,0.00001436171,0.0002472754,0.0000997512,0.00000393748],"category_scores_gemma":[0.0001996066,0.00005174484,0.00002287745,0.000340217,0.001362484,0.0001235437,0.00005505295,0.0003129842,1.8514e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255391,"about_ca_system_score_gemma":0.00004969192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003779047,"about_ca_topic_score_gemma":0.0003966608,"domain_scores_codex":[0.9989043,0.0004370582,0.0001526719,0.0001562987,0.0001052241,0.0002443959],"domain_scores_gemma":[0.9995414,0.0002985333,0.00005197068,0.00009362826,0.000007019519,0.000007428573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001688689,0.00005849727,0.8095672,0.000002929665,0.000005153141,0.00002072732,0.107477,0.00003578583,0.0000136017,0.0006854665,0.003745144,0.07837168],"study_design_scores_gemma":[0.001095096,0.0001939141,0.2358997,0.00007283228,0.000004249595,0.000005952548,0.6200362,0.0004192265,0.00001854845,0.1212525,0.02070593,0.0002958216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903196,0.005396014,0.0001560657,0.003298982,0.0003169098,0.0001909467,0.00001077548,0.00002628662,0.0002843867],"genre_scores_gemma":[0.9975637,0.001767274,0.0005096186,0.00007109483,0.0000137408,0.0000330045,0.000003713288,0.000003918,0.00003394302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5736675,"threshold_uncertainty_score":0.5020127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570716171207459,"score_gpt":0.2924853894833771,"score_spread":0.2667782277713025,"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."}}