{"id":"W4318464458","doi":"10.1016/j.ijbiomac.2023.123473","title":"Alginate based photothermal cryogels boost ferrous-supply for enhanced antibacterial chemodynamic therapy and accelerated wound healing","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Aging","funders":"","keywords":"Photothermal therapy; In vivo; Hemostasis; Wound healing; Chemistry; Self-healing hydrogels; Biomedical engineering; Materials science; Nanotechnology; Surgery; Medicine; Polymer chemistry","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":[0.0004395136,0.0001819676,0.0004212126,0.000175016,0.00006556235,0.00009154763,0.0001936097,0.0001634373,0.0001576788],"category_scores_gemma":[0.0002102419,0.0001138326,0.0002319605,0.000154512,0.0001323677,0.00006757455,0.00003942403,0.0001771056,0.000004569196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005089916,"about_ca_system_score_gemma":0.00008082474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006176654,"about_ca_topic_score_gemma":5.813687e-7,"domain_scores_codex":[0.9986314,0.00007038342,0.000521281,0.0002185109,0.0002895618,0.000268862],"domain_scores_gemma":[0.9987885,0.0002566616,0.0002515432,0.00007393595,0.0004741227,0.0001552545],"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":[0.003096346,0.00015536,0.001082934,0.00001321892,0.0002137026,0.0002782816,0.00004406762,0.00002230121,0.9705921,0.00009197856,0.00007831155,0.02433138],"study_design_scores_gemma":[0.01686417,0.003540738,0.06851306,0.0004945598,0.00005675342,0.000760012,0.0002029968,0.009668077,0.8846471,0.001290115,0.01343511,0.0005272794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926671,0.0002686877,0.002603592,0.003451992,0.0004505278,0.0002998827,0.00009065252,0.0000411918,0.0001263144],"genre_scores_gemma":[0.9963817,0.0007389887,0.001148372,0.001121343,0.0003839555,0.00001090463,0.0001391984,0.00002041212,0.00005513192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08594499,"threshold_uncertainty_score":0.464196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06121817632290832,"score_gpt":0.3398814723987328,"score_spread":0.2786632960758245,"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."}}