{"id":"W4327684244","doi":"10.1002/adhm.202203233","title":"Smart Dual‐Sensor Wound Dressing for Monitoring Cutaneous Wounds","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; International Collaboration on Repair Discoveries","keywords":"Wound dressing; Wound healing; Medicine; Biomedical engineering; Surgery; Intensive care medicine; Materials science","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":[0.0003108842,0.0003867294,0.0003310737,0.0004256573,0.000137707,0.0004494845,0.0005070976,0.0006985668,0.001259096],"category_scores_gemma":[0.0004323784,0.0002361099,0.0002906155,0.0002392122,0.0001505944,0.0005129175,0.0003872069,0.0005309606,0.0005669286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441015,"about_ca_system_score_gemma":0.0001305238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008108933,"about_ca_topic_score_gemma":0.0001831565,"domain_scores_codex":[0.9996204,0.00006042592,0.00002384786,0.00008321895,0.0001873791,0.00002478225],"domain_scores_gemma":[0.9997771,0.00004491344,0.00006089069,0.00002185988,0.00006643977,0.00002879039],"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":[0.0001514755,0.0001038237,0.0007183201,0.0002799722,0.00001517802,0.0001078132,0.00003082887,0.0001906375,0.964655,0.0002893601,0.0007671362,0.03269047],"study_design_scores_gemma":[0.00002965295,0.000688816,0.002541597,0.00003657435,0.0000478508,0.001039964,0.00004490402,0.009836187,0.9753813,0.0001930034,0.01012,0.00004009451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.681141,0.01991074,0.278983,0.00109041,0.001568859,0.0004331063,0.000768232,0.001689348,0.01441528],"genre_scores_gemma":[0.8767084,0.003460041,0.1119915,0.0007013876,0.0001535329,0.0001664792,0.0001964907,0.00005212243,0.006570128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001259096,"threshold_uncertainty_score":0.004212081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06437177387338464,"score_gpt":0.391109372970554,"score_spread":0.3267375990971694,"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."}}