{"id":"W7047322073","doi":"","title":"Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment System-Home Care (RAI-HC)","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"University of Waterloo","keywords":"Wearable computer; Falls in older adults; Poison control; Ordered logit; Logistic regression; Geriatrics; Risk assessment; Fall prevention; Observational study; Odds","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552898,0.0004359247,0.0005370186,0.001489996,0.0001869338,0.0007931549,0.0003616238,0.000406962,0.0006867403],"category_scores_gemma":[0.003762517,0.0001547784,0.0005110845,0.0008603098,0.0001663154,0.0004953161,0.0007021902,0.0003283757,0.0003541233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500022,"about_ca_system_score_gemma":0.0003023873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311978,"about_ca_topic_score_gemma":0.003477297,"domain_scores_codex":[0.9991336,0.0002680356,0.0001162085,0.0002017058,0.0002275135,0.00005291702],"domain_scores_gemma":[0.9987327,0.0003898954,0.0003833911,0.00009422404,0.0002966428,0.0001030336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000846558,0.0004604603,0.9315826,0.0001289987,0.0001557761,0.00007073121,0.000456667,0.0008677305,0.001511374,0.00009004785,0.0006396249,0.06318936],"study_design_scores_gemma":[0.00006610713,0.002002224,0.9711952,0.0000837117,0.0001516546,0.0003316873,0.001005324,0.02282793,0.001423106,0.0001913934,0.0006800925,0.00004168931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973866,0.0001078638,0.001396525,0.00004171161,0.00001379616,0.00008081658,0.0004782901,0.00004399146,0.000450384],"genre_scores_gemma":[0.9889656,0.0002020609,0.009154957,0.00003941516,0.00002003515,0.0001409225,0.001018472,0.000005007607,0.0004535885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002311978,"threshold_uncertainty_score":0.008212566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162582948856108,"score_gpt":0.246806069634533,"score_spread":0.2305477747489222,"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."}}