{"id":"W4232236240","doi":"10.32920/ryerson.14649030","title":"Production of Bioplastics from Renewable and Sustainable Feedstock Resources","year":2021,"lang":"en","type":"preprint","venue":"","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ralstonia; Bioplastic; Raw material; Autoclave; Hydrolysis; Enzymatic hydrolysis; Sugar; Yield (engineering); Pulp and paper industry; Food science; Chemistry; Enzyme; Materials science; Organic chemistry; Waste management; Composite material","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":[0.0001625081,0.0004581945,0.0002747298,0.0002875052,0.0001213455,0.0004974114,0.0001434164,0.0003917887,0.0007431595],"category_scores_gemma":[0.0001457536,0.0001382232,0.0002902826,0.0003054284,0.0001595362,0.0003456069,0.000315686,0.0003982442,0.0005288674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165085,"about_ca_system_score_gemma":0.000227078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00028284,"about_ca_topic_score_gemma":0.0009967857,"domain_scores_codex":[0.9999028,0.00001303151,0.000008891058,0.00001922226,0.00003867473,0.00001735129],"domain_scores_gemma":[0.9999344,0.00001512421,0.00001451526,0.00001075062,0.00001295755,0.00001211741],"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":[0.0000113248,0.00000593323,0.00009525544,0.00006172869,0.000002922222,0.00007251615,0.000005080908,0.0001077267,0.9978479,0.00004375559,0.00001329205,0.001732552],"study_design_scores_gemma":[0.000001905827,0.00005579723,0.0008531177,0.00001097713,0.000006001937,0.0001269016,0.00001541404,0.0003801521,0.9962693,0.00005547125,0.00222281,0.000002010485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622507,0.006951733,0.02357251,0.0002551489,0.00006471145,0.00005829959,0.0006124804,0.0001557338,0.006078798],"genre_scores_gemma":[0.9689799,0.003936791,0.02213194,0.00005681212,0.00001407667,0.0000319411,0.0006438443,0.00005686985,0.004147917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007431595,"threshold_uncertainty_score":0.00248611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886782023186563,"score_gpt":0.2111297825329505,"score_spread":0.1922619623010849,"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."}}