{"id":"W4410570902","doi":"10.1002/smtd.202402103","title":"High‐Resolution 3D Printing of Stretchable Granular Hydrogel Filaments for Fabricating Robust and Durable Tissue Phantoms with Tunable Mechanical Strength","year":2025,"lang":"en","type":"article","venue":"Small Methods","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Self-healing hydrogels; Materials science; Ultimate tensile strength; Toughness; Composite material; Fabrication; 3D printing; Mechanical strength; Biomedical engineering; Nanotechnology; Polymer chemistry","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":[0.000176908,0.0003740213,0.0001409616,0.000188629,0.0000734243,0.0002825511,0.0001745084,0.0002837097,0.0007298698],"category_scores_gemma":[0.0001584204,0.0002151947,0.0002385906,0.000104233,0.00017303,0.0001961892,0.0002134074,0.0002754085,0.000324706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927157,"about_ca_system_score_gemma":0.0001027925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002384289,"about_ca_topic_score_gemma":0.0004296176,"domain_scores_codex":[0.9999299,0.000009409533,0.000005517343,0.0000191386,0.00002161524,0.0000144454],"domain_scores_gemma":[0.9998546,0.0000444976,0.00005089933,0.00001999411,0.000009184516,0.00002089],"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":[0.00000777543,0.000002504743,0.00001924124,0.00001013749,9.626145e-7,0.00002137654,0.000004046108,0.0001641416,0.9992041,0.00002459652,0.00001109093,0.0005300516],"study_design_scores_gemma":[0.000004456541,0.00003697099,0.0005597249,0.000003609416,0.000003107505,0.00006444057,0.000003891912,0.00294734,0.9956424,0.000017716,0.000711738,0.000004546358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145243,0.001085336,0.07997717,0.0001233274,0.00006548112,0.00008645486,0.0006756439,0.0007163222,0.002745954],"genre_scores_gemma":[0.9323064,0.000560153,0.06467405,0.00006503396,0.00001189598,0.0001244313,0.0002916255,0.00009902036,0.00186741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007298698,"threshold_uncertainty_score":0.002441645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699979951538021,"score_gpt":0.3235790924953467,"score_spread":0.2965792929799665,"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."}}