{"id":"W2339329901","doi":"10.1021/acs.biomac.6b00223","title":"Biochemical and Structural Insights into Enzymatic Depolymerization of Polylactic Acid and Other Polyesters by Microbial Carboxylesterases","year":2016,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biological and Environmental Research; Ontario Genomics Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Polylactic acid; Depolymerization; Polyester; Hydrolysis; Chemistry; Lactic acid; Organic chemistry; Biodegradable polymer; Biochemistry; Polymer; Bacteria; Biology","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":[0.00003336442,0.0001791566,0.0002123855,0.00006210821,0.00009567863,0.00006707481,0.0001164161,0.00008478323,0.00003265532],"category_scores_gemma":[0.00003412311,0.0001068222,0.00002698072,0.00006293054,0.000497432,0.0001445468,0.00006114721,0.000019262,0.000002278132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007200461,"about_ca_system_score_gemma":0.00002086327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004833174,"about_ca_topic_score_gemma":0.00001488415,"domain_scores_codex":[0.9990712,0.00008553812,0.0002540054,0.0002825541,0.0001219078,0.0001847946],"domain_scores_gemma":[0.9995887,0.00006010407,0.00009467464,0.0001610878,0.00001064738,0.00008475293],"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":[0.00005549757,0.00001249926,0.0005766564,0.00007111418,0.00001291787,0.000001160635,0.0005010065,9.479405e-10,0.990168,0.00005432222,0.00001889123,0.008527947],"study_design_scores_gemma":[0.0002833304,0.00006624563,0.0002393276,0.0001033977,0.00002505684,0.00002812578,0.00006865032,0.000006782574,0.9989024,0.00004454983,0.00005290835,0.00017917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700146,0.02917132,0.0002777273,0.0002481327,0.0001029549,0.00007832064,0.00005337126,0.00002825404,0.00002537049],"genre_scores_gemma":[0.9991369,0.00006922923,0.0006200357,0.0001119125,0.00002439307,0.000006116174,0.000002885557,0.00001889826,0.000009692016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02912229,"threshold_uncertainty_score":0.4356082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008271710918864153,"score_gpt":0.2096715775564338,"score_spread":0.2013998666375696,"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."}}