{"id":"W3211856957","doi":"10.1016/j.biteb.2021.100875","title":"Biorefinery strategies for microbial bioplastics production: Sustainable pathway towards Circular Bioeconomy","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology Reports","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biorefinery; Bioplastic; Circular economy; Biopolymer; Greenhouse gas; Production (economics); Sustainable production; Biochemical engineering; Sustainable development; Sustainability; Bioenergy; Natural resource economics; Environmental science; Business; Engineering; Biofuel; Waste management; Chemistry; Economics; Ecology","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":[0.0003492631,0.0006239021,0.0002211495,0.0003811331,0.0003317818,0.0008316257,0.0003898541,0.0005950908,0.001381398],"category_scores_gemma":[0.0003308913,0.0001991461,0.0003059195,0.0004132334,0.0003878588,0.001297128,0.0006790457,0.001000265,0.0007014043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007107076,"about_ca_system_score_gemma":0.0005770898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006778467,"about_ca_topic_score_gemma":0.001371838,"domain_scores_codex":[0.99978,0.00003493981,0.00001446139,0.00003839273,0.00008444512,0.00004776144],"domain_scores_gemma":[0.9998934,0.0000180521,0.00002490759,0.00001485514,0.00002815053,0.00002066169],"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":[0.00004586165,0.000104447,0.000201248,0.0003638372,0.00001481136,0.0001727315,0.00008437171,0.0005885533,0.9658803,0.004935913,0.000524535,0.02708337],"study_design_scores_gemma":[0.000008144493,0.0001819768,0.000428257,0.00004581642,0.00001444356,0.0001822194,0.00008186596,0.001636502,0.9789276,0.00132036,0.01716173,0.00001106719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971302,0.07443144,0.08246274,0.003535063,0.0006216572,0.0002361893,0.0003815078,0.0003234317,0.04087771],"genre_scores_gemma":[0.9429255,0.02663785,0.020976,0.0002840415,0.00007347222,0.00006465993,0.000252583,0.00004788037,0.008738054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001381398,"threshold_uncertainty_score":0.005156577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497030547971936,"score_gpt":0.2148742932884284,"score_spread":0.199903987808709,"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."}}