{"id":"W4388248474","doi":"10.1016/j.heliyon.2023.e21932","title":"Older adults’ intention to use voice assistants: Usability and emotional needs","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inland Fisheries Ireland; Canada Foundation for Innovation","keywords":"Usability; Psychology; Novelty; Structural equation modeling; Population; Applied psychology; Sample (material); Social psychology; Medicine; Computer science; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000518278,0.000095709,0.0001141923,0.0002511825,0.0003292594,0.00008111818,0.0001626999,0.0001671429,0.00009740381],"category_scores_gemma":[0.001309596,0.00009870486,0.00003893748,0.001151057,0.0002441535,0.0003355666,0.0001130682,0.0001363379,0.000463378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070308,"about_ca_system_score_gemma":0.0000479888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009409682,"about_ca_topic_score_gemma":0.006478959,"domain_scores_codex":[0.9987707,0.0001158875,0.0001782432,0.0002889111,0.0003192619,0.0003270193],"domain_scores_gemma":[0.999301,0.000161929,0.00004184642,0.0002041061,0.0001560529,0.0001350411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009199091,0.0001843039,0.8972907,0.0002365072,0.00003316169,0.00001399935,0.03953405,0.000001937577,0.0006933553,0.01291783,0.005343811,0.04365835],"study_design_scores_gemma":[0.0002748398,0.0000320944,0.9751115,0.0003242396,0.000006268465,0.000001171848,0.009459116,0.00001849852,0.00008842006,0.0003129294,0.01424439,0.0001265367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907367,0.00005527569,0.0002424244,0.007000238,0.0004120964,0.0003357607,0.00002253271,0.0006315762,0.0005634243],"genre_scores_gemma":[0.9969237,0.0001730282,0.0003497318,0.0002922711,0.00005577882,0.00002999753,0.000009933453,0.00001091399,0.002154682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07782079,"threshold_uncertainty_score":0.5955942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254057303440951,"score_gpt":0.2960268242104581,"score_spread":0.270621093866363,"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."}}