{"id":"W3034377821","doi":"","title":"Sustainable Bioplastics 2016 - Extending polylactide applications by overcoming its drawbacks","year":2020,"lang":"en","type":"article","venue":"Archives in Chemical Research","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioplastic; Business; Risk analysis (engineering); Computer science; Engineering; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006657667,0.0006078013,0.0004351751,0.000749968,0.0004045266,0.001673997,0.0004125513,0.0008976827,0.002141987],"category_scores_gemma":[0.0004035683,0.0003345126,0.0007122345,0.0007711525,0.0003576901,0.001578904,0.001030596,0.001381847,0.002066968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007695683,"about_ca_system_score_gemma":0.0007141944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004360539,"about_ca_topic_score_gemma":0.001140545,"domain_scores_codex":[0.9995732,0.00004673815,0.00004478773,0.00006433584,0.0002059415,0.00006506492],"domain_scores_gemma":[0.999635,0.00005157568,0.00008752493,0.00003886393,0.0001261578,0.00006088807],"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":[0.00007273233,0.000111626,0.0008171689,0.001353868,0.00002873952,0.0006858903,0.0001784972,0.001604251,0.9347857,0.005467962,0.0009732346,0.05392025],"study_design_scores_gemma":[0.00001096224,0.000486876,0.001696874,0.000275494,0.00007245516,0.00144072,0.0001800902,0.004651283,0.8599392,0.003131011,0.1280746,0.0000403369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6390103,0.1350724,0.112596,0.003663297,0.001329844,0.0002959738,0.0005160324,0.001213272,0.106303],"genre_scores_gemma":[0.892522,0.04053571,0.03254006,0.0006825522,0.0001842121,0.0002294446,0.0005490453,0.0002371109,0.03251985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002141987,"threshold_uncertainty_score":0.00716567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564927933379705,"score_gpt":0.3318108850805634,"score_spread":0.2861616057467664,"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."}}