{"id":"W4389396174","doi":"10.1016/j.jmbbm.2023.106285","title":"Manipulating mechanical properties of PEG-based hydrogel nanocomposite: A potential versatile bio-adhesive for the suture-less repair of tissue","year":2023,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Adhesive; Composite material; Nanoparticle; Nanocomposite; Curing (chemistry); Polymer; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251339,0.0002434092,0.00007815164,0.0001245443,0.00008720845,0.000178535,0.0001446814,0.000274418,0.0007462526],"category_scores_gemma":[0.0001611556,0.0001108559,0.0001075524,0.00008343213,0.0001125916,0.0002913045,0.0001084539,0.0002629278,0.000108242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147976,"about_ca_system_score_gemma":0.0001207602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002452474,"about_ca_topic_score_gemma":0.0006036049,"domain_scores_codex":[0.9999421,0.000006669627,0.000003592556,0.00001484983,0.00001926822,0.00001357185],"domain_scores_gemma":[0.9998879,0.00002361575,0.00004451092,0.000004272076,0.00001789987,0.00002179439],"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":[0.00002071194,0.000008519917,0.00003290755,0.00002059962,0.000001396948,0.00001697202,0.000005971499,0.00005405679,0.9991473,0.00003675008,0.00001629536,0.0006385312],"study_design_scores_gemma":[0.000006642854,0.00008499293,0.0007761634,0.00000295642,0.000008400862,0.00004585051,0.000008441514,0.001638739,0.9968023,0.00001343099,0.0006068196,0.000005181804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932585,0.0008101946,0.004658579,0.00006694532,0.00003100991,0.00001351966,0.00007952609,0.00004920052,0.00103255],"genre_scores_gemma":[0.9959896,0.0002865599,0.00259714,0.00003475411,0.00000703997,0.00001255355,0.00004026249,0.00001270114,0.0010194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007462526,"threshold_uncertainty_score":0.002496481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447207855825221,"score_gpt":0.289766683766366,"score_spread":0.2552946052081138,"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."}}