{"id":"W2111183284","doi":"10.1016/s0142-9612(00)00136-8","title":"Optimizing the sterilization of PLGA scaffolds for use in tissue engineering","year":2000,"lang":"en","type":"article","venue":"Biomaterials","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":218,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sterilization (economics); Materials science; Irradiation; PLGA; Biodegradable polymer; Polyester; Biomedical engineering; Polymer; Gamma irradiation; Ethylene oxide; Ethanol; Tissue engineering; Chemical engineering; Chemistry; Nanoparticle; Composite material; Nanotechnology; Medicine; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004212387,0.0001040929,0.0002021871,0.00004399664,0.00005546256,0.0001271081,0.0001737828,0.00006004829,0.001183722],"category_scores_gemma":[0.00002483116,0.00006707749,0.00002675837,0.00007851598,0.00004049039,0.0002103899,0.00002284115,0.000002528045,0.00002436762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001204252,"about_ca_system_score_gemma":0.00001311363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003613786,"about_ca_topic_score_gemma":0.00001987778,"domain_scores_codex":[0.9991749,0.00006215967,0.0003315185,0.0001534218,0.00008949075,0.000188546],"domain_scores_gemma":[0.9996054,0.00008485277,0.0000676571,0.000201343,0.00002085744,0.00001992991],"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":[0.00009104976,0.00001463041,0.00002060093,0.00005728201,0.000002704369,2.964689e-7,0.0002533854,0.00005614316,0.9937464,0.00004325042,0.00005163632,0.005662639],"study_design_scores_gemma":[0.0001425926,0.00003734615,0.0002953707,0.00007336937,0.000007606914,0.000001765158,0.00002097896,0.0005742181,0.9936071,0.000008804198,0.005137695,0.0000931366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977937,0.001103809,0.0003117149,0.0000666734,0.0003335109,0.0002516633,0.00006788904,0.00003830398,0.00003268631],"genre_scores_gemma":[0.9932558,0.00004364405,0.006351971,0.00002674442,0.00006898431,0.00006769931,0.00000629493,0.00001681732,0.000162052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006040256,"threshold_uncertainty_score":0.9997293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657234679442533,"score_gpt":0.2406525597621446,"score_spread":0.2040802129677192,"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."}}