{"id":"W4403351173","doi":"10.1016/j.ijnss.2024.10.009","title":"Advances in applying somatosensory interaction technology in geriatric care: A bibliometric analysis","year":2024,"lang":"en","type":"review","venue":"International Journal of Nursing Sciences","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Municipal Health Commission","keywords":"Geriatric care; Psychology; Somatosensory system; Gerontology; Medicine; Nursing; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001352154,0.0002854356,0.001220416,0.2849899,0.00005769254,0.0008279449,0.002609115,0.0001943995,0.00000552272],"category_scores_gemma":[0.0003072915,0.0002300627,0.00056504,0.1888581,0.0001680282,0.002518913,0.0001686781,0.0007548112,0.00002390846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357221,"about_ca_system_score_gemma":0.000645704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000022975,"about_ca_topic_score_gemma":0.00004157464,"domain_scores_codex":[0.9961243,0.0002679268,0.001498779,0.0005658969,0.001250932,0.0002922056],"domain_scores_gemma":[0.9972052,0.0005626779,0.001508104,0.000199966,0.0004645426,0.00005953148],"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":[0.000002429179,0.00007772302,0.0001969051,0.0002360096,0.0001594062,0.0001760343,0.0003458386,0.0001227341,0.000001623015,0.0003301755,0.00001531814,0.9983358],"study_design_scores_gemma":[0.001434801,0.00072182,0.0006958208,0.1542504,0.003451654,0.01339105,0.006787531,0.01092867,0.00004400864,0.01695744,0.7889689,0.002367936],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002915491,0.9825958,0.01043013,0.0003241311,0.005376921,0.0002254329,0.00000498233,0.0000411372,0.0007099131],"genre_scores_gemma":[0.07560953,0.9223672,0.001751584,0.000009170362,0.000212058,0.00002866117,0.000001936578,0.00001088784,0.000008950018],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9959679,"threshold_uncertainty_score":0.9381683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08082475799791837,"score_gpt":0.4469391989213491,"score_spread":0.3661144409234308,"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."}}