{"id":"W4392887852","doi":"10.1186/s12938-024-01227-x","title":"A novel in-bed body posture monitoring for decubitus ulcer prevention using body pressure distribution mapping","year":2024,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Toronto Rehabilitation Institute; University of Toronto","funders":"Mitacs","keywords":"Medicine; Biomedical engineering; Distribution (mathematics); Body posture; Computer science; Physical medicine and rehabilitation; Mathematics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007545297,0.0002264783,0.0002910458,0.0002947076,0.0001467882,0.00002970782,0.0001749884,0.0003164046,0.00006368906],"category_scores_gemma":[0.0003228745,0.0002154958,0.0001327424,0.0005056267,0.00002129784,0.000170352,0.0001336869,0.0005888063,0.000009559769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468972,"about_ca_system_score_gemma":0.0001503731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008635284,"about_ca_topic_score_gemma":0.000009702027,"domain_scores_codex":[0.9979804,0.00006228199,0.0006472469,0.0004089419,0.0003272354,0.0005738869],"domain_scores_gemma":[0.9992524,0.0002013115,0.00008242923,0.0002137346,0.00007277592,0.0001773505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004180083,0.003598811,0.003045764,0.03592182,0.002420592,0.0001560399,0.003535687,0.009577851,0.8692521,0.02226048,0.01693626,0.03287655],"study_design_scores_gemma":[0.001846363,0.00007436495,0.02020407,0.004052653,0.0001975886,0.00000583518,0.0002602878,0.4803876,0.0001545343,0.0001332519,0.492323,0.0003604044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05007749,0.001979191,0.9385196,0.001256713,0.005047599,0.001957218,0.0005301132,0.0005988051,0.00003329854],"genre_scores_gemma":[0.9754801,0.00007015442,0.01851184,0.000080399,0.002431304,0.0003581734,0.001433721,0.0000805704,0.001553699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9254026,"threshold_uncertainty_score":0.8787664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403727282205432,"score_gpt":0.4049634163853231,"score_spread":0.3509261435632687,"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."}}