{"id":"W4396623964","doi":"10.1016/j.bioadv.2024.213885","title":"Anisotropic hydrogel scaffold by flow-induced stereolithography 3D printing technique","year":2024,"lang":"en","type":"article","venue":"Biomaterials Advances","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; American Chemical Society Petroleum Research Fund","keywords":"Materials science; Stereolithography; Soft lithography; Nanotechnology; Self-healing hydrogels; Scaffold; Lithography; Composite material; Biomedical engineering; Fabrication; Polymer chemistry; Optoelectronics","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":[0.0001616213,0.0003657321,0.0002678181,0.0004187496,0.0001860279,0.0003528158,0.0002648346,0.0003361968,0.001091859],"category_scores_gemma":[0.0001065275,0.0002655549,0.0003779401,0.0002119302,0.0002046337,0.0002571307,0.0002201403,0.0004664169,0.0004726131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772538,"about_ca_system_score_gemma":0.000345783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569381,"about_ca_topic_score_gemma":0.001219646,"domain_scores_codex":[0.999816,0.000008815954,0.00001449868,0.00003419258,0.00009399281,0.00003246292],"domain_scores_gemma":[0.9998999,0.00001774863,0.0000410679,0.00001769637,0.0000137432,0.000009832712],"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":[0.00001386817,0.000009813785,0.00003052288,0.00003733149,0.000002274243,0.00004514384,0.00001262745,0.0001537675,0.9964079,0.0002932557,0.00009811563,0.002895346],"study_design_scores_gemma":[0.000007785149,0.00003114618,0.0004654963,0.000002899033,0.000006840466,0.0001119242,0.000004081856,0.001699827,0.9952219,0.00005386147,0.002383596,0.000010515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7410257,0.003366848,0.2300746,0.0003653144,0.0005466396,0.0002655197,0.001403197,0.002943113,0.02000897],"genre_scores_gemma":[0.8959922,0.001341532,0.09640336,0.0001294093,0.00009229997,0.0001733608,0.0004051058,0.0001646304,0.005298156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091859,"threshold_uncertainty_score":0.003652632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164178711208894,"score_gpt":0.2746455955897948,"score_spread":0.2630038084777058,"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."}}