{"id":"W4393139992","doi":"10.32920/25475374","title":"Aging with Technology: Seniors and Mobile Connections","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology; Business","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":[0.0009273452,0.0002743571,0.0002678894,0.001433882,0.006472771,0.004772737,0.0005396779,0.0009036453,0.00313269],"category_scores_gemma":[0.00349496,0.0001462331,0.0001794811,0.001970984,0.003395784,0.003372376,0.003182326,0.001324548,0.0002540401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006484247,"about_ca_system_score_gemma":0.00778265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6593902,"about_ca_topic_score_gemma":0.7534052,"domain_scores_codex":[0.9990257,0.0001424006,0.00004038546,0.00008065718,0.000282574,0.0004282844],"domain_scores_gemma":[0.9985718,0.0001783256,0.0002259345,0.00004202008,0.0002636838,0.0007183324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003767744,0.00004689597,0.1148612,0.0001127275,0.00001209147,0.0008533234,0.8175224,0.00003531369,0.0003464184,0.008157823,0.009613063,0.04840112],"study_design_scores_gemma":[0.000003575135,0.00005310418,0.1039118,0.0002385627,0.00002156952,0.0004613575,0.836631,0.00005545752,0.0001058385,0.0008749787,0.05761562,0.00002713911],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959196,0.002298119,0.0001800809,0.008532875,0.0001416071,0.00001681454,0.0002695755,0.00001260913,0.0293525],"genre_scores_gemma":[0.9945025,0.001278371,0.00006940653,0.0007055761,0.00003197108,0.00000487032,0.00005121906,0.000005318475,0.003350828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6593902,"threshold_uncertainty_score":0.6852314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009706215520789247,"score_gpt":0.2906553542568795,"score_spread":0.2809491387360902,"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."}}