{"id":"W3015980745","doi":"10.1016/j.gaitpost.2020.04.010","title":"Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions","year":2020,"lang":"en","type":"review","venue":"Gait & Posture","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Academy of Engineering; AGE-WELL","keywords":"Wearable computer; Computer science; Artificial intelligence; Gait; Pace; Fall prevention; Wearable technology; Sitting; Machine learning; Data science; Applied psychology; Poison control; Psychology; Physical medicine and rehabilitation; Injury prevention; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001870224,0.0003291887,0.001164166,0.000249749,0.0002491978,0.00003164767,0.0004215119,0.0007743135,0.00004042348],"category_scores_gemma":[0.001950545,0.0002472851,0.0002567121,0.0006650407,0.0000834984,0.0002597796,0.0001595185,0.003244271,0.00006273622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752175,"about_ca_system_score_gemma":0.0004973743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009644879,"about_ca_topic_score_gemma":0.003192327,"domain_scores_codex":[0.9923422,0.005204808,0.001126747,0.0004446816,0.0004000639,0.0004814535],"domain_scores_gemma":[0.9948685,0.003784363,0.000546646,0.0005747097,0.0001467739,0.00007906427],"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":[0.00005388785,0.007598028,0.04004472,0.1621256,0.0006605582,0.0005325245,0.03016848,0.000004522788,0.00006086784,0.0371249,0.07082547,0.6508004],"study_design_scores_gemma":[0.0005677508,0.00009520738,0.4503863,0.0490835,0.0004763557,0.00001288122,0.00242036,0.00007879412,6.186856e-9,0.0007804285,0.4957761,0.00032221],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002441066,0.9870555,0.0001278234,0.001242548,0.0008025749,0.00351859,0.001377375,0.00006379713,0.003370759],"genre_scores_gemma":[0.01069943,0.9864166,0.0006226607,0.0004311241,0.000303654,0.0005913362,0.0003826182,0.00004905765,0.0005035186],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6504782,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05647420194212916,"score_gpt":0.4198986759793331,"score_spread":0.363424474037204,"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."}}