{"id":"W2004208268","doi":"10.1007/s11517-010-0575-4","title":"A wireless sensor network system to determine biomechanics of spinal braces during daily living","year":2010,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta; Alberta Health Services","funders":"National Institute of Mental Health","keywords":"Brace; Data logger; Wireless sensor network; Biomechanics; Accelerometer; Wireless; Simulation; Engineering; Physical medicine and rehabilitation; Computer science; Medicine; Telecommunications; Structural engineering; Operating system; Anatomy","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005111972,0.0002774086,0.0006864455,0.0001261765,0.00009334147,0.00002135829,0.0002161551,0.0002925973,0.00009583418],"category_scores_gemma":[0.0008842245,0.0001993411,0.0001640751,0.0004468961,0.00004769147,0.00002084124,0.0002917626,0.0004719655,0.00002675579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006694507,"about_ca_system_score_gemma":0.00003994236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002528522,"about_ca_topic_score_gemma":0.00000278031,"domain_scores_codex":[0.9979013,0.0000373523,0.000593055,0.000443938,0.0004354523,0.0005889256],"domain_scores_gemma":[0.9985121,0.0004505529,0.0001142482,0.0002785506,0.00007608834,0.0005684967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003618843,0.00150377,0.4446978,0.00266494,0.0006252512,0.001800061,0.0004711852,0.004277912,0.4277162,0.002051875,0.00008274215,0.1137463],"study_design_scores_gemma":[0.001338972,0.001485601,0.7092196,0.008045404,0.00009460076,0.0009465438,0.0001027264,0.2656524,0.01229277,0.00000210902,0.0002684226,0.0005509212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939949,0.0002257954,0.004255461,0.0002109784,0.000697123,0.00031239,0.000002627668,0.0002504897,0.0000502255],"genre_scores_gemma":[0.9912906,0.00001609,0.007574732,0.0001286103,0.0009371411,0.00001842067,0.00000292803,0.0000268999,0.000004577964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4154235,"threshold_uncertainty_score":0.8128895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157116344892144,"score_gpt":0.2581704398261422,"score_spread":0.2424588053369278,"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."}}