{"id":"W4398235506","doi":"10.1002/adhm.202400148","title":"Ultra‐Hydrophobic Gauze Driving Super‐Haemostasis","year":2024,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Materials science; Nanotechnology; Biomedical engineering; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004839515,0.0003080353,0.0007421649,0.0001591465,0.0001574327,0.0001159071,0.0001049897,0.0002197066,0.001201375],"category_scores_gemma":[0.0001251547,0.0002313709,0.000160835,0.0004074424,0.0000818866,0.0001853314,0.00003881082,0.0002749357,0.0004372002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920425,"about_ca_system_score_gemma":0.0002133512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001562697,"about_ca_topic_score_gemma":0.00001705274,"domain_scores_codex":[0.9974547,0.0001414773,0.0007080519,0.000623143,0.000370952,0.0007016465],"domain_scores_gemma":[0.9987068,0.0001925652,0.00005871952,0.0004665628,0.0001293303,0.0004460637],"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":[0.0001630001,0.00006914578,0.0004833719,0.002282754,0.00008790593,0.0009777115,0.0004580475,0.000004511822,0.8906483,0.00273502,0.0010604,0.1010298],"study_design_scores_gemma":[0.0008299347,0.0004653957,0.001132277,0.002127407,0.00007779608,0.000492409,0.0003367301,0.00003284237,0.690082,0.0008025573,0.3031752,0.0004455327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718546,0.007007558,0.0000789741,0.01615003,0.002188706,0.0007616534,0.0001410948,0.0005737052,0.001243644],"genre_scores_gemma":[0.9925196,0.002766509,0.0007937988,0.001633375,0.0006065859,0.00007242976,0.0001838499,0.00009750441,0.001326406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3021148,"threshold_uncertainty_score":0.9997116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366465699056435,"score_gpt":0.3378568584681007,"score_spread":0.3141922014775363,"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."}}