{"id":"W4283831539","doi":"10.1089/3dp.2021.0147","title":"Improving the 3D Printability of Sugar Glass to Engineer Sacrificial Vascular Templates","year":2022,"lang":"en","type":"article","venue":"3D Printing and Additive Manufacturing","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Breakthrough T1D Canada; Natural Sciences and Engineering Research Council of Canada; Michigan Diabetes Research Center, University of Michigan; Centre québécois sur les matériaux fonctionnels; Canada Research Chairs; McGill University","keywords":"Materials science; Glass transition; Sucrose; Tissue engineering; Template; Dissolution; Sugar; Composite material; Chemical engineering; Nanotechnology; Biomedical engineering; Chemistry; Polymer","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":[0.001521454,0.0002249923,0.000271429,0.0001637112,0.0004018703,0.00006282861,0.0004115508,0.0000553173,0.0003549377],"category_scores_gemma":[0.0005127674,0.0001907403,0.00009179358,0.0002072176,0.0001179554,0.0000671716,0.0009225338,0.0007765195,0.00001082801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254218,"about_ca_system_score_gemma":0.00002868498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558092,"about_ca_topic_score_gemma":0.000006977609,"domain_scores_codex":[0.998015,0.0001273957,0.0003803331,0.0003867236,0.0005578274,0.0005326531],"domain_scores_gemma":[0.9987133,0.0006481872,0.00006115517,0.0003868438,0.00004845225,0.0001420323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004394634,0.00009021458,0.002995884,0.0007887594,0.0003199228,0.00002250212,0.003401907,0.04933484,0.03757383,0.0003820354,0.0002072826,0.9048389],"study_design_scores_gemma":[0.0007433671,0.0001906106,0.1210819,0.0001738402,0.00007131517,0.00003087466,0.001750054,0.07044321,0.731115,0.0002617908,0.07315679,0.0009812419],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866058,0.00009478653,0.01112584,0.00007760676,0.0003261308,0.000425524,0.00005018359,0.0002243097,0.001069821],"genre_scores_gemma":[0.9954332,0.00001382404,0.004164379,0.00003183467,0.0001572786,0.0001009141,0.000008734745,0.00004558914,0.0000442091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9038576,"threshold_uncertainty_score":0.7778163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024148125709114,"score_gpt":0.2266506461630728,"score_spread":0.2164091649059816,"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."}}