{"id":"W4290861260","doi":"10.1007/s10439-022-03001-3","title":"On-Field Deployment and Validation for Wearable Devices","year":2022,"lang":"en","type":"review","venue":"Annals of Biomedical Engineering","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wearable computer; Computer science; Software deployment; Event (particle physics); Best practice; Field (mathematics); Robustness (evolution); Wearable technology; Acknowledgement; Accelerometer; Acceleration; Data science; Human–computer interaction; Simulation; Computer security; Software engineering; Embedded system","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":[0.0007986974,0.0001998085,0.0009476725,0.0003907329,0.00003429689,0.00001267778,0.0001342031,0.000176964,0.0003085085],"category_scores_gemma":[0.00129532,0.0001616493,0.0002275113,0.0002899248,0.00003272501,0.00002876428,0.00007652386,0.0003553968,0.000004892527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000289443,"about_ca_system_score_gemma":0.0001382442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006657334,"about_ca_topic_score_gemma":7.902255e-8,"domain_scores_codex":[0.9984071,0.00003206701,0.0004950239,0.0002577445,0.0005262372,0.0002818838],"domain_scores_gemma":[0.9973952,0.002010459,0.0001088448,0.0002368663,0.00003490007,0.0002136957],"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":[0.00002452131,0.00009285202,3.449446e-7,0.04035612,0.0002776845,0.000007635987,0.00001920325,0.000002448684,0.000004696625,0.0003621597,0.003545201,0.9553071],"study_design_scores_gemma":[0.0002594563,0.0009857517,0.000002379449,0.00985014,0.0001669934,0.00002632468,0.000007984477,0.0003776331,0.00007301482,0.00002965542,0.9880922,0.0001284619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007688317,0.9964511,0.00132669,0.0007668366,0.0001656704,0.0009888994,0.00004832069,0.00005233897,0.0001232558],"genre_scores_gemma":[0.0001042035,0.9979383,0.00111961,0.0001382549,0.0001249822,0.0003179648,0.0001071683,0.00005138153,0.00009808345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.984547,"threshold_uncertainty_score":0.6591868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2246510492448144,"score_gpt":0.4367776480387514,"score_spread":0.212126598793937,"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."}}