{"id":"W2261089859","doi":"10.1039/c5ra25758a","title":"Soy protein-modified waterborne polyurethane biocomposites with improved functionality","year":2016,"lang":"en","type":"article","venue":"RSC Advances","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; Agriculture and Agri-Food Canada","funders":"Wuhan University; National Natural Science Foundation of China","keywords":"Polyurethane; Soy protein; Biodegradation; Materials science; Chemical engineering; Chemistry; Polymer science; Polymer chemistry; Composite material; Organic chemistry; Food science","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":[0.0001681895,0.0006687868,0.0001916985,0.0001816835,0.00009508747,0.0002870223,0.0002185121,0.0004391879,0.0008338125],"category_scores_gemma":[0.0002474666,0.0002140599,0.0002299457,0.0001851188,0.0002206038,0.0004385382,0.0001670314,0.0004611105,0.0003187213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214528,"about_ca_system_score_gemma":0.0001355172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003314562,"about_ca_topic_score_gemma":0.000838201,"domain_scores_codex":[0.9998842,0.00001569778,0.00001247362,0.00002783933,0.00003119204,0.00002845628],"domain_scores_gemma":[0.9998209,0.00003523457,0.00004780003,0.00001485187,0.00004686539,0.00003438595],"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":[0.00002373935,0.000006486111,0.00002585922,0.00001869246,0.000002421301,0.00002107169,0.000009348938,0.00002510706,0.9992012,0.00002454448,0.000006162292,0.0006354738],"study_design_scores_gemma":[0.000001982304,0.00007243036,0.0004008617,0.000001276012,0.00000654356,0.00003869368,0.000006730882,0.0002080996,0.9987816,0.000006110796,0.0004728019,0.000002896579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875233,0.001205812,0.009422374,0.00004360359,0.00005085913,0.00002956944,0.00009454336,0.0001557501,0.001474396],"genre_scores_gemma":[0.9908071,0.0004501319,0.005792473,0.00004163319,0.000008588553,0.0000200326,0.0001742998,0.0000507401,0.002654967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008338125,"threshold_uncertainty_score":0.002789378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068084610096735,"score_gpt":0.233776078012525,"score_spread":0.2230952319115576,"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."}}