{"id":"W4206353987","doi":"10.2196/29744","title":"Falls Detection and Prevention Systems in Home Care for Older Adults: Myth or Reality?","year":2021,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Older people; Population; Mythology; Population ageing; Gerontology; Computer science; Internet privacy; Medicine; Environmental health","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":[0.0002559844,0.0001101341,0.0002055571,0.0001335176,0.00009205876,0.0002657764,0.0001261719,0.00006806369,0.000002511701],"category_scores_gemma":[0.00004062196,0.0001085789,0.00005001267,0.00034272,0.000008990176,0.0006749281,0.00009664943,0.00009004292,0.000003765451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265207,"about_ca_system_score_gemma":0.00006963563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952115,"about_ca_topic_score_gemma":0.001073795,"domain_scores_codex":[0.9987738,0.0001614251,0.0002635873,0.0004466421,0.0001586057,0.0001958996],"domain_scores_gemma":[0.9992159,0.000148628,0.0001121485,0.0002749869,0.0001978702,0.00005048146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004159153,0.00007523361,0.002176242,0.001770413,0.00002429362,0.00004499622,0.01436872,0.00002212795,0.001772216,0.0001552644,0.00009899992,0.9794499],"study_design_scores_gemma":[0.03558338,0.001578715,0.3066655,0.03524548,0.000157197,0.003140528,0.134365,0.3528461,0.04295735,0.002670975,0.07914927,0.005640548],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4136433,0.0012803,0.5819243,0.0002713517,0.0008601815,0.00161992,0.00001339578,0.000209604,0.0001777099],"genre_scores_gemma":[0.9985664,0.00001204224,0.0005075129,0.00004836541,0.00009846166,0.0004779029,0.00000904079,0.00001092575,0.0002693692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9738094,"threshold_uncertainty_score":0.4427721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468512674057996,"score_gpt":0.2947694804771419,"score_spread":0.2700843537365619,"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."}}