{"id":"W2051147215","doi":"10.1109/iembs.2009.5333964","title":"A flexible pressure monitoring system for pressure ulcer prevention","year":2009,"lang":"en","type":"article","venue":"","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Consortia for Improving Medicine with Innovation and Technology","keywords":"Pressure sensor; Capacitive sensing; Remote patient monitoring; Pressure measurement; Offset (computer science); Computer science; Biomedical engineering; Electronic engineering; Medicine; Electrical engineering; Engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009071485,0.0005704241,0.0007887032,0.0008508591,0.0005721162,0.000557748,0.001372803,0.0009729906,0.009327048],"category_scores_gemma":[0.001429717,0.0002743571,0.0003671603,0.0007428256,0.0002527975,0.000729963,0.0007254549,0.0005247344,0.002897226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191696,"about_ca_system_score_gemma":0.0004120774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004783777,"about_ca_topic_score_gemma":0.0002991043,"domain_scores_codex":[0.9988493,0.0001433345,0.00007119226,0.0002472828,0.0006201832,0.00006874908],"domain_scores_gemma":[0.9990488,0.0001904313,0.00009809461,0.0001409494,0.0004147506,0.0001070152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007517446,0.0003742215,0.004840145,0.0007925858,0.00007435433,0.0007794976,0.0003524853,0.001277151,0.51166,0.001369227,0.01627279,0.4614557],"study_design_scores_gemma":[0.000679463,0.009717787,0.07073936,0.0004110144,0.0006253697,0.01377636,0.0002565135,0.08525547,0.5880226,0.001329161,0.2286086,0.0005782527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1633156,0.00358079,0.7887575,0.0008143701,0.001309739,0.002140542,0.002029748,0.02227786,0.01577389],"genre_scores_gemma":[0.6166705,0.001328548,0.3547112,0.0007479243,0.0004325818,0.001348581,0.00160383,0.0002598556,0.02289698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009327048,"threshold_uncertainty_score":0.03120208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07394665577856008,"score_gpt":0.4380405488618109,"score_spread":0.3640938930832508,"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."}}