{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01236569,0.0004850182,0.0007178645,0.0009814627,0.0009971771,0.0048343,0.001589848,0.003425288,0.002669381],"category_scores_gemma":[0.02626619,0.0002668017,0.0004818495,0.0006363507,0.00348374,0.01056953,0.002680882,0.003731265,0.0007170612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171992,"about_ca_system_score_gemma":0.003812429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004059985,"about_ca_topic_score_gemma":0.006260972,"domain_scores_codex":[0.9935207,0.003881003,0.0004772597,0.0003637724,0.001408272,0.0003489883],"domain_scores_gemma":[0.9841023,0.009630664,0.001076821,0.0005987093,0.003527453,0.001064066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003944552,0.0004035054,0.01644259,0.009204657,0.0001515939,0.0002976803,0.008766417,0.0008796637,0.001072993,0.03239564,0.05927936,0.8707115],"study_design_scores_gemma":[0.0002630937,0.002947852,0.04668242,0.06220424,0.0007812536,0.003223079,0.09086597,0.007433923,0.002748611,0.1298041,0.6526633,0.0003821404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03445581,0.3149177,0.009581334,0.6203018,0.004833838,0.00009196984,0.0002587802,0.0002109813,0.01534778],"genre_scores_gemma":[0.5240679,0.3310752,0.03924131,0.09313936,0.007691149,0.0005402404,0.0003513926,0.00008095776,0.003812658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01236569,"threshold_uncertainty_score":0.06539679,"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."}}