{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235955,0.00009929085,0.0001490536,0.000123438,0.0002752772,0.000054633,0.0000450183,0.00001937113,0.00001189634],"category_scores_gemma":[0.00004934552,0.00008477049,0.00001280369,0.0002528426,0.0001450018,0.0001044805,0.00004987508,0.00009450959,4.839724e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391048,"about_ca_system_score_gemma":0.00002895126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001990092,"about_ca_topic_score_gemma":1.719587e-7,"domain_scores_codex":[0.9991628,0.00001486095,0.000131172,0.000263673,0.000217131,0.0002103782],"domain_scores_gemma":[0.9996385,0.00004297755,0.00002974529,0.0001008568,0.000008560087,0.0001793537],"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":[0.00001698492,0.00001679266,0.001195986,0.00004040546,0.000005508461,0.000006093722,0.0005121288,0.000006180833,0.9517304,0.0002830237,1.562809e-7,0.04618637],"study_design_scores_gemma":[0.0003179555,0.0001055334,0.0462632,0.00004489431,0.00003922707,0.0003671585,0.0003292853,0.02818605,0.9235286,0.000003478509,0.0006456003,0.0001690353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952772,0.002659763,0.0001670387,0.001600806,0.00004814982,0.0001476711,0.000008238205,0.00004629677,0.0000448743],"genre_scores_gemma":[0.9994429,0.0002567358,0.00007290177,0.0001176076,0.00001805507,0.00003518378,0.000005943619,0.00001042473,0.00004030141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04601733,"threshold_uncertainty_score":0.3456841,"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."}}