{"id":"W2524593478","doi":"10.1002/adhm.201600720","title":"Strong and Rapidly Self‐Healing Hydrogels: Potential Hemostatic Materials","year":2016,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates Bio Solutions; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Alberta Crop Industry Development Fund","keywords":"Self-healing hydrogels; Self-healing; Hemostatic Agent; Materials science; Nanotechnology; Biomedical engineering; Hemostasis; Medicine; Polymer chemistry; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006625375,0.0003228683,0.0009167705,0.0001031661,0.0001873372,0.00006068887,0.0000849628,0.0002040879,0.0005205894],"category_scores_gemma":[0.0001322906,0.0002007844,0.00006461106,0.0001105952,0.0001003679,0.0002084603,0.00008047148,0.00008896435,0.00006837549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231541,"about_ca_system_score_gemma":0.0001281751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008751987,"about_ca_topic_score_gemma":0.000003530709,"domain_scores_codex":[0.9972116,0.0002680113,0.0008919557,0.000558441,0.0003328538,0.0007371185],"domain_scores_gemma":[0.9985822,0.0001359136,0.0002441366,0.0003919001,0.0001645516,0.000481238],"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":[0.0005308457,0.00006377622,0.0001899723,0.0007549669,0.00005943739,0.0001477309,0.0001483494,7.1177e-7,0.9554276,0.001366846,0.00007231489,0.04123747],"study_design_scores_gemma":[0.004888815,0.0007422608,0.00147821,0.001344774,0.00009082263,0.0004014815,0.0002756796,0.000005452421,0.9708145,0.00110775,0.01837328,0.0004769362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98143,0.0008486866,0.000432138,0.01487556,0.0008787584,0.0009421596,0.0002722986,0.0002442708,0.00007613665],"genre_scores_gemma":[0.9922767,0.001819536,0.003733525,0.001332956,0.0003711845,0.00006368099,0.00007129511,0.00007178464,0.0002593654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04076054,"threshold_uncertainty_score":0.8187749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883115359771134,"score_gpt":0.3058625354131829,"score_spread":0.2870313818154716,"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."}}