{"id":"W4402445684","doi":"10.18280/rces.110301","title":"Do Older Adults Adopt the New Technologies? ATM Interfaces are an Example","year":2024,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Human–computer interaction; Psychology","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":[0.0005187818,0.0002080012,0.0004581747,0.0001082519,0.0001232864,0.00005331018,0.0007355155,0.00009389915,0.00000768923],"category_scores_gemma":[0.0002333083,0.0001388184,0.0001031548,0.0006446933,0.0002323496,0.0001910827,0.0003133551,0.0002614945,0.00001714196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006320055,"about_ca_system_score_gemma":0.00004873153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076753,"about_ca_topic_score_gemma":0.00009946549,"domain_scores_codex":[0.9987137,0.00005296496,0.0003343684,0.0003452503,0.0002574663,0.0002962548],"domain_scores_gemma":[0.9989998,0.000284839,0.00008971125,0.000468154,0.000122612,0.00003490929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002757826,0.00005278236,0.0002402321,0.01597542,0.0006220541,0.00002775874,0.03083718,0.0001594451,0.000009303869,0.02285507,0.05610337,0.8731146],"study_design_scores_gemma":[0.0003071045,0.0001923577,0.002301407,0.1451561,0.0002370141,0.00002011289,0.01205999,0.001512856,0.0003363559,0.001413984,0.835718,0.0007447373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01960533,0.954941,0.01042471,0.01077561,0.001218245,0.0007023597,0.000003430924,0.002285746,0.00004351966],"genre_scores_gemma":[0.6678541,0.3245862,0.00693685,0.000145029,0.0003188454,0.00006651579,0.000001198061,0.0000312177,0.00006001547],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8723699,"threshold_uncertainty_score":0.5660852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177785546938301,"score_gpt":0.3150493158456917,"score_spread":0.2832714603763087,"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."}}