{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732888,0.0002549206,0.0005930655,0.0001650725,0.0004478683,0.00007214057,0.00005667099,0.0001710997,0.00002685253],"category_scores_gemma":[0.0001730579,0.0002329075,0.0000840345,0.0002415487,0.00004035554,0.00009161676,0.00003511468,0.0001159838,0.0001740134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814976,"about_ca_system_score_gemma":0.0001734621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002813575,"about_ca_topic_score_gemma":0.00001863662,"domain_scores_codex":[0.9979314,0.00006245815,0.0005279463,0.0004601491,0.0002696284,0.0007484511],"domain_scores_gemma":[0.9987606,0.0002303324,0.0001564841,0.0003941732,0.0001957386,0.0002626656],"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":[0.004878058,0.0004088592,0.04689375,0.008879529,0.0004919709,0.002319324,0.002877383,0.0001094323,0.8414451,0.001320839,0.001121664,0.08925407],"study_design_scores_gemma":[0.01421524,0.004197673,0.06349013,0.005736492,0.0005261504,0.00192398,0.003149682,0.00005281839,0.8064402,0.01017002,0.08849041,0.001607151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898885,0.0003808199,0.00003001705,0.004552354,0.003051501,0.001216237,0.0001593646,0.0006088107,0.0001123183],"genre_scores_gemma":[0.9891042,0.0003543285,0.00592586,0.0003191553,0.001042393,0.0003208908,0.0003009111,0.00009892426,0.00253336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08764692,"threshold_uncertainty_score":0.9497693,"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."}}