{"id":"W3127355316","doi":"10.1126/sciadv.abe9499","title":"Digital light 3D printing of customized bioresorbable airway stents with elastomeric properties","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"Tracheal and airway disorders","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Silicone; Airway; Elastomer; 3d printed; Silicone Elastomers; 3D printing; 3d printer; Elasticity (physics); Biomedical engineering; Three dimensional printing; Bioresorbable scaffold; Materials science; Medicine; Composite material; Surgery; Myocardial infarction; Percutaneous coronary intervention; Mechanical engineering; Cardiology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00018041,0.000326498,0.0001427595,0.0004362475,0.0001135041,0.0003417675,0.0001539873,0.0005140782,0.001135908],"category_scores_gemma":[0.0002496442,0.0002286459,0.0003876743,0.0001692782,0.0001762615,0.0002520574,0.000260185,0.0002984864,0.00042334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385784,"about_ca_system_score_gemma":0.0000930112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009004627,"about_ca_topic_score_gemma":0.0002738992,"domain_scores_codex":[0.9998571,0.00001285412,0.00001396611,0.00003400077,0.0000622001,0.00001993251],"domain_scores_gemma":[0.999826,0.00004690216,0.00005853278,0.00003167929,0.00001935371,0.0000176326],"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":[0.00002473913,0.00001716265,0.0001402785,0.00005435635,0.000005531946,0.0002460224,0.00002774462,0.0003215132,0.9928163,0.000169935,0.0001191916,0.006057101],"study_design_scores_gemma":[0.000007287671,0.00009499327,0.001508216,0.000006973215,0.0000130188,0.0005655107,0.00001096589,0.001632437,0.9921783,0.00006377121,0.003904937,0.00001358749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928006,0.00278559,0.05840597,0.0002132119,0.0003694235,0.0001011932,0.0004826715,0.0008603684,0.008775703],"genre_scores_gemma":[0.9435207,0.001069073,0.04851143,0.0001722015,0.0000501982,0.00005996649,0.0001873075,0.0001255922,0.006303607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135908,"threshold_uncertainty_score":0.003800035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098031886537392,"score_gpt":0.2383244458566221,"score_spread":0.2285212572028829,"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."}}