{"id":"W4384405044","doi":"10.1007/s13346-023-01391-y","title":"Urethane dimethacrylate-based photopolymerizable resins for stereolithography 3D printing: A physicochemical characterisation and biocompatibility evaluation","year":2023,"lang":"en","type":"article","venue":"Drug Delivery and Translational Research","topic":"Photopolymerization techniques and applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Stereolithography; Ethylene glycol dimethacrylate; Biocompatibility; Materials science; Photopolymer; Ethylene glycol; Chemical engineering; Polymer; Composite material; Polymerization; Methacrylic acid","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003292054,0.0003443835,0.0001811208,0.0004075679,0.0001200502,0.0002527847,0.000134348,0.0002817419,0.0007819459],"category_scores_gemma":[0.0003328666,0.0001787951,0.000256215,0.0002450604,0.0001865787,0.0002457818,0.00009684233,0.0003301307,0.0003636942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447478,"about_ca_system_score_gemma":0.0001418009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001578003,"about_ca_topic_score_gemma":0.0005024754,"domain_scores_codex":[0.9997869,0.00002652536,0.00002287682,0.00004465748,0.00009934776,0.00001960681],"domain_scores_gemma":[0.9997564,0.00007169809,0.00008388561,0.00003006132,0.00003897563,0.00001899357],"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":[0.000008435513,0.00001222725,0.00004715786,0.00003700383,0.000001545622,0.00002348614,0.0000134387,0.00007532637,0.9971153,0.00002740987,0.00001038505,0.002628342],"study_design_scores_gemma":[0.000001550675,0.00007885892,0.0009785893,0.00000238888,0.000006530857,0.00008845452,0.00000727241,0.0004195283,0.9976445,0.00001148642,0.0007569547,0.000003930886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326181,0.00436372,0.05881678,0.00006549113,0.00005561612,0.0001943335,0.0004619788,0.0003715566,0.003052425],"genre_scores_gemma":[0.938195,0.002631693,0.05525484,0.00003908867,0.00001918444,0.0001723739,0.0002822884,0.00009423609,0.003311173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007819459,"threshold_uncertainty_score":0.002615869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0833878491803911,"score_gpt":0.3752850529637659,"score_spread":0.2918972037833748,"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."}}