{"id":"W3175089639","doi":"10.1016/j.biortech.2021.125474","title":"Bioconversion of Food Waste to produce Industrial-scale Sophorolipid Syrup and Crystals: dynamic Life Cycle Assessment (dLCA) of Emerging Biotechnologies","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Process Optimization and Integration","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"FP7 Coherent Development of Research Policies","keywords":"Bioconversion; Life-cycle assessment; Food waste; Biochemical engineering; Sustainability; Biotechnology; Bioplastic; Environmental impact assessment; Environmental science; Production (economics); Waste management; Engineering; Chemistry; Economics; Food science; Biology; 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":[0.0004479612,0.0003380986,0.0002716563,0.000303734,0.0001862925,0.0005246418,0.0001998097,0.0002985653,0.0004424713],"category_scores_gemma":[0.0004456248,0.0001212722,0.0004761819,0.0003328717,0.0001449717,0.0004139831,0.0003201978,0.000363666,0.0001604226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006998045,"about_ca_system_score_gemma":0.0007098672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003084787,"about_ca_topic_score_gemma":0.004719995,"domain_scores_codex":[0.9997161,0.00004529563,0.00002231331,0.00004677814,0.0001252975,0.00004422923],"domain_scores_gemma":[0.9998648,0.00002755991,0.00002294982,0.00001580074,0.00005554539,0.00001326691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002571625,0.0001545399,0.001326998,0.00006594534,0.0000170176,0.00003756367,0.00004037214,0.002236896,0.9812934,0.0001839542,0.00006143388,0.0143249],"study_design_scores_gemma":[0.000004478615,0.000355379,0.001260244,0.000003869669,0.000009678634,0.00001525458,0.00002256232,0.004906524,0.9929107,0.00003262368,0.0004740531,0.000004533772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946576,0.0002499743,0.00365681,0.00002803319,0.000008312032,0.00003340533,0.0002636315,0.00003682265,0.001065395],"genre_scores_gemma":[0.9938719,0.0004299373,0.004021965,0.00001291741,0.000001831439,0.00002694646,0.0003087879,0.00001697637,0.001308666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003084787,"threshold_uncertainty_score":0.006133676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008844236492674195,"score_gpt":0.2273265840728149,"score_spread":0.2184823475801407,"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."}}