{"id":"W4412492918","doi":"10.1007/s00449-025-03203-8","title":"Production and characterization of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) copolymers from a pre- fermented hardwood hydrolysate","year":2025,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; University of Manitoba; National Research Council Canada","funders":"Natural Resources Canada; National Research Council Canada","keywords":"Hydrolysate; Propionate; Chemistry; Fermentation; Xylose; Food science; Polyhydroxyalkanoates; Effluent; Bioreactor; Hardwood; Polyhydroxybutyrate; Organic chemistry; Nuclear chemistry; Hydrolysis; Waste management; Botany; Biology; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115165,0.0003583482,0.0001704334,0.0002374174,0.0001019877,0.0003578243,0.00008308684,0.0002019426,0.0003884422],"category_scores_gemma":[0.0001404298,0.0001124479,0.0002270977,0.0002492259,0.00009582807,0.0002182325,0.0001266863,0.0003076809,0.0002235378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066035,"about_ca_system_score_gemma":0.0001320906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007347402,"about_ca_topic_score_gemma":0.0009290215,"domain_scores_codex":[0.9999099,0.00001205049,0.000007980125,0.00001720441,0.00003444054,0.00001842724],"domain_scores_gemma":[0.9998815,0.00001809045,0.00003993905,0.00001050168,0.000021427,0.00002856093],"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":[0.000007090851,0.000004165071,0.00006515621,0.000005545994,8.141994e-7,0.00001137574,0.000003672866,0.00001952629,0.9996525,0.00000433929,0.000001141152,0.0002245814],"study_design_scores_gemma":[0.000002240216,0.00008523549,0.004021221,0.000003367957,0.000006962861,0.00005339785,0.00002202552,0.0002977009,0.9950872,0.000008270314,0.0004098605,0.000002406303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945613,0.0004820806,0.003657907,0.00002368534,0.000008625479,0.00004335743,0.0004355925,0.00002380186,0.0007636007],"genre_scores_gemma":[0.9905454,0.0006194256,0.005023414,0.0000240261,0.000007303707,0.00004809619,0.001191054,0.00002937791,0.002511963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007347402,"threshold_uncertainty_score":0.00146091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007567705946192102,"score_gpt":0.1997331746922873,"score_spread":0.1921654687460952,"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."}}