{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147626,0.0001034573,0.0002310823,0.00009319685,0.000127433,0.00004479343,0.0001326801,0.00001659294,0.00002882469],"category_scores_gemma":[0.0001600756,0.00006215267,0.00003914676,0.00101089,0.0006326579,0.0008434047,0.0000585119,0.00007983464,0.0000178356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002195887,"about_ca_system_score_gemma":0.0003336509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003932746,"about_ca_topic_score_gemma":0.000005489397,"domain_scores_codex":[0.9987213,0.000007423891,0.0001836897,0.0003099583,0.000483274,0.000294343],"domain_scores_gemma":[0.9993739,0.00001437781,0.00009246806,0.0001875844,0.0002341181,0.00009756785],"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":[0.0004792607,0.0005129325,0.09775957,0.0003782268,0.00003024626,0.00003115866,0.0007711385,0.0004760123,0.5090972,0.00006036289,0.00001703532,0.3903869],"study_design_scores_gemma":[0.002924224,0.0007172047,0.01289074,0.0007649413,0.00004619043,0.00006866946,0.005719234,0.0002587881,0.9518139,0.00003937788,0.02445743,0.0002992504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785901,0.002331242,0.0001450042,0.0005291549,0.00009387624,0.0001640052,0.000002093806,0.00004593504,0.01809861],"genre_scores_gemma":[0.9940401,0.0000519657,0.002554797,0.00005519591,0.00002011513,0.000009197859,0.000001338862,0.000007800119,0.003259444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4427168,"threshold_uncertainty_score":0.2534512,"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."}}