{"id":"W3124339427","doi":"10.3389/fbioe.2020.619066","title":"Developing a Sustainable and Circular Bio-Based Economy in EU: By Partnering Across Sectors, Upscaling and Using New Knowledge Faster, and For the Benefit of Climate, Environment & Biodiversity, and People & Business","year":2021,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Circular economy; Sustainability; Portfolio; Business; Diversification (marketing strategy); Natural resource economics; Supply chain; Agriculture; Biomass (ecology); Product (mathematics); Biodiversity; Environmental economics; Environmental resource management; Environmental science; Economics; Marketing; Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004011095,0.0005537571,0.0004236668,0.0009599549,0.001294929,0.007080973,0.0007103849,0.002619934,0.007355338],"category_scores_gemma":[0.002427758,0.0002209628,0.0006660898,0.001700821,0.001548745,0.006741087,0.006243409,0.001847107,0.002471731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058162,"about_ca_system_score_gemma":0.007360267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606962,"about_ca_topic_score_gemma":0.001275731,"domain_scores_codex":[0.9984881,0.0004243964,0.0001089471,0.0001650255,0.0004348771,0.0003785875],"domain_scores_gemma":[0.9991099,0.0001723596,0.0001188281,0.0001227567,0.0001770396,0.0002990384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001600186,0.0001365497,0.003349784,0.001550228,0.00008039692,0.0005707449,0.00134536,0.003190394,0.007199994,0.5128863,0.06234618,0.4071841],"study_design_scores_gemma":[0.000007385044,0.00008582752,0.00256665,0.0008984064,0.00001658779,0.0002666407,0.001468573,0.0004028629,0.001397925,0.04396953,0.9488961,0.00002350246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.08892722,0.1144012,0.09318914,0.08759036,0.007141101,0.0004244438,0.00256653,0.001265718,0.6044943],"genre_scores_gemma":[0.4612869,0.1315931,0.2334145,0.02461889,0.001017313,0.0004554492,0.006523235,0.0006080761,0.1404826],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007355338,"threshold_uncertainty_score":0.02460605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879462328391021,"score_gpt":0.2498117761483679,"score_spread":0.2210171528644577,"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."}}