{"id":"W4297051928","doi":"10.1002/pen.26139","title":"Chitosan sponges and polycaprolactone nanoparticles carrying tranexamic acid as hemostatic agent: Synthesis, characterization and bioapplication","year":2022,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Polycaprolactone; Chitosan; Materials science; Nuclear chemistry; Zeta potential; Biomaterial; Tranexamic acid; Scanning electron microscope; Thermogravimetric analysis; Differential scanning calorimetry; Fourier transform infrared spectroscopy; Chromatography; Chemical engineering; Nanoparticle; Chemistry; Composite material; Nanotechnology; Organic chemistry; Polymer; Medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001773201,0.0002940474,0.0001249699,0.0002655063,0.00008619688,0.000187648,0.0001166273,0.000254403,0.0006098453],"category_scores_gemma":[0.0002188591,0.0001106329,0.0001974204,0.0001765083,0.0001833804,0.000181595,0.00009391993,0.0001670105,0.0001494547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809109,"about_ca_system_score_gemma":0.0001551237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005496434,"about_ca_topic_score_gemma":0.0007136039,"domain_scores_codex":[0.9998901,0.00001701859,0.00001248179,0.00002062996,0.00004603199,0.00001372411],"domain_scores_gemma":[0.9997941,0.00004063627,0.00006601695,0.00001692364,0.00005074503,0.00003161529],"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":[0.00003200342,0.000009078199,0.0001002026,0.00004511045,0.000003465485,0.00005932683,0.000007755943,0.00006797264,0.9986217,0.00002595369,0.00001219006,0.001015327],"study_design_scores_gemma":[0.000006346212,0.0002447361,0.001489114,0.00000411442,0.00001277177,0.0002690902,0.00001289788,0.0005418544,0.9965972,0.00001327153,0.0008029267,0.000005623027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904037,0.001939574,0.005798792,0.00006907599,0.00003079824,0.00005519285,0.0001425411,0.00005761902,0.001502765],"genre_scores_gemma":[0.992905,0.0007220863,0.004542985,0.00003735432,0.000009763731,0.00003034479,0.0001246862,0.0000140496,0.001613838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006098453,"threshold_uncertainty_score":0.002040148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021095448662388,"score_gpt":0.2294451774449378,"score_spread":0.219234222958314,"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."}}