{"id":"W2111188521","doi":"10.1109/iembs.2008.4649942","title":"A wireless personal wearable network system to understand the biomechanics of orthotic for the treatment of scoliosis","year":2008,"lang":"en","type":"article","venue":"","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta; Capital District Health Authority","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; USB; Wireless; Brace; Data logger; Battery (electricity); Embedded system; Accelerometer; Computer science; Wireless sensor network; Simulation; Automotive engineering; Engineering; Software; Power (physics); Telecommunications; Operating system; Mechanical engineering","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":[0.0004521415,0.0006285006,0.0004871101,0.0005763859,0.0002186422,0.000393105,0.0004939048,0.0004136827,0.01663044],"category_scores_gemma":[0.0006408771,0.0001523507,0.0001774427,0.0005087517,0.0001066158,0.0007172283,0.0004173713,0.0003226672,0.003804025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221147,"about_ca_system_score_gemma":0.0002601371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005491151,"about_ca_topic_score_gemma":0.0009807228,"domain_scores_codex":[0.9996464,0.00008770591,0.00003009668,0.00007522933,0.0001397145,0.00002087693],"domain_scores_gemma":[0.9997186,0.00005208866,0.0000369205,0.00004487776,0.0001187014,0.00002875076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001614616,0.0006367335,0.01644128,0.001026102,0.0001924632,0.0008816149,0.0003490752,0.004763434,0.2323678,0.00299466,0.05228205,0.6864502],"study_design_scores_gemma":[0.0008146528,0.006751858,0.1005942,0.0004112969,0.0008532425,0.00867924,0.0003976417,0.2610002,0.246675,0.003809674,0.3697079,0.0003052502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.155638,0.003121238,0.7517051,0.0009194841,0.000973961,0.002175266,0.004239994,0.0304737,0.05075336],"genre_scores_gemma":[0.7006891,0.002610096,0.1880178,0.0008257693,0.0003941453,0.002744002,0.0045547,0.0005210039,0.0996434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01663044,"threshold_uncertainty_score":0.05563438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0648955820060587,"score_gpt":0.285248893812073,"score_spread":0.2203533118060143,"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."}}