{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117049,0.0002193857,0.0002475974,0.00004917611,0.0002106735,0.00007408226,0.0002526436,0.00005666649,0.0002305952],"category_scores_gemma":[0.00001788065,0.0001167912,0.00005153836,0.000119084,0.0001761305,0.0005559927,0.00006757769,0.00006346056,0.00009924935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004598155,"about_ca_system_score_gemma":0.00005117092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037224,"about_ca_topic_score_gemma":0.0000397825,"domain_scores_codex":[0.9984565,0.00007076286,0.0002665192,0.0004688985,0.0002736999,0.0004635958],"domain_scores_gemma":[0.9992079,0.0000940824,0.0001503534,0.0003293372,0.00008220154,0.0001361283],"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":[0.0003341218,0.00005603293,0.0004545573,0.00003209562,0.00001092998,0.000004075345,0.00003770233,0.00001952013,0.9931366,0.0008016013,0.000009799955,0.005102915],"study_design_scores_gemma":[0.0007937172,0.0002590293,0.0006623444,0.0001043457,0.00001453636,0.00001468095,0.00001548221,0.00008936884,0.9929072,0.001302629,0.00356522,0.0002714714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689515,0.001839253,0.02608543,0.001371582,0.0003023272,0.0003789194,0.00006386665,0.0002512596,0.0007559307],"genre_scores_gemma":[0.9897093,0.00002744155,0.008973612,0.0001355209,0.0002286233,0.00006941317,0.000007621585,0.00002169768,0.0008268146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02075782,"threshold_uncertainty_score":0.4762608,"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."}}