{"id":"W1993940712","doi":"10.1016/j.biomaterials.2008.09.038","title":"The role of oxidation and enzymatic hydrolysis on the in vivo degradation of trimethylene carbonate based photocrosslinkable elastomers","year":2008,"lang":"en","type":"article","venue":"Biomaterials","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Government of Ontario","keywords":"Elastomer; Degradation (telecommunications); Materials science; Hydrolysis; In vivo; Trimethylene carbonate; Biodegradation; Fourier transform infrared spectroscopy; Differential scanning calorimetry; Nuclear chemistry; Polymer chemistry; Polymer; Chemistry; Chemical engineering; Organic chemistry; Polymerization; Composite material","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":[0.001177706,0.0001236731,0.0002707909,0.00008444875,0.0001957252,0.00004276598,0.0001970945,0.0000611755,0.0001426211],"category_scores_gemma":[0.0001333844,0.00006426905,0.00004116215,0.0001720094,0.0002918917,0.00008600919,0.00002999803,0.00001022488,0.000005354055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168371,"about_ca_system_score_gemma":0.00005427861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151183,"about_ca_topic_score_gemma":0.00003618846,"domain_scores_codex":[0.9985844,0.000352233,0.0004878225,0.0001660231,0.0002375544,0.0001719948],"domain_scores_gemma":[0.998933,0.0004063911,0.0003119088,0.0002849281,0.00004078469,0.00002301168],"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":[0.0001910465,0.00003523152,0.0002032387,0.00002507783,0.000008139079,2.363647e-7,0.0002202531,0.00000547616,0.9983591,0.0001063141,0.00001429093,0.0008315846],"study_design_scores_gemma":[0.0002140068,0.00007201933,0.0007202589,0.00005074423,0.00001437763,0.00000134839,0.0001370624,0.0006198653,0.9977635,0.0001035633,0.0002266926,0.00007652712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971303,0.002061649,0.000004817802,0.0001697936,0.0001148584,0.0002630544,0.00003703566,0.00001355571,0.0002049616],"genre_scores_gemma":[0.9995242,0.0001307002,0.0001728884,0.00002391085,0.00001269893,0.00006251304,0.000002127389,0.0000099689,0.00006095424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002393964,"threshold_uncertainty_score":0.2620816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926490468014982,"score_gpt":0.2154463315494568,"score_spread":0.196181426869307,"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."}}