{"id":"W1976834368","doi":"10.1039/c4bm00390j","title":"Accelerated healing of cutaneous wounds using phytochemically stabilized gold nanoparticle deposited hydrocolloid membranes","year":2015,"lang":"en","type":"article","venue":"Biomaterials Science","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wound healing; Angiogenesis; Chemistry; Stimulation; Connective tissue; Chorioallantoic membrane; Matrix metalloproteinase; Vascular endothelial growth factor; Growth factor; Extracellular matrix; Andrology; Hypertrophic scar; Regeneration (biology); Pharmacology; Medicine; Surgery; Pathology; Cell biology; Internal medicine; VEGF receptors; Biochemistry; Biology; Receptor","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":[0.0004879683,0.0001611671,0.0004074162,0.0001451471,0.0001347232,0.00009612108,0.0001724337,0.00007159966,0.00002164045],"category_scores_gemma":[0.0003677161,0.0001278673,0.00004293163,0.00083864,0.0004588392,0.0001862771,0.00006860313,0.00002245708,0.00001277304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241061,"about_ca_system_score_gemma":0.0006682602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005390254,"about_ca_topic_score_gemma":0.000004153871,"domain_scores_codex":[0.9981362,0.00004767564,0.0004780227,0.0003701474,0.0005494867,0.0004184487],"domain_scores_gemma":[0.9986982,0.00004751016,0.0001721086,0.0003274198,0.0004072435,0.0003475207],"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":[0.0004700451,0.0002181269,0.002321591,0.0001103877,0.00001555838,0.00003803529,0.0003129253,0.00003395205,0.9963984,0.000007754889,0.00000861673,0.00006459763],"study_design_scores_gemma":[0.001488019,0.0003152075,0.0002418091,0.0001520375,0.00006525801,0.0003523038,0.00008098703,0.002396031,0.9947141,0.00004661751,0.00002569939,0.0001219503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986377,0.0001292793,0.00001664495,0.0001240325,0.0003806742,0.0004223322,0.00001224303,0.0001125409,0.000164582],"genre_scores_gemma":[0.994374,0.000004252213,0.005428218,0.00006396999,0.00006009901,0.00001290621,0.000007016727,0.00001634452,0.00003322953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005411574,"threshold_uncertainty_score":0.5214276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09249251850803138,"score_gpt":0.3521984736881469,"score_spread":0.2597059551801155,"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."}}