{"id":"W3048209602","doi":"10.1039/d0ra06178f","title":"Microfibers synthesized by wet-spinning of chitin nanomaterials: mechanical, structural and cell proliferation properties","year":2020,"lang":"en","type":"article","venue":"RSC Advances","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 European Research Council; Horizon 2020 Framework Programme; Helsinki Institute of Life Science, Helsingin Yliopisto; Sigrid Juséliuksen Säätiö; Academy of Finland","keywords":"Microfiber; Chitin; Nanomaterials; Biocompatible material; Spinning; Materials science; Viability assay; Nanotechnology; Polymer science; Chemical engineering; Chemistry; Cell; Chitosan; Composite material; Biomedical engineering; Biochemistry; Engineering","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":[0.0001412912,0.0001697562,0.0003154383,0.0000269732,0.0001350785,0.00009912006,0.00017659,0.00004662087,0.00007957969],"category_scores_gemma":[0.00006713826,0.000136721,0.00003160051,0.00008812368,0.0001119185,0.0004720318,0.00008530228,0.00004904371,0.00001141812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001361897,"about_ca_system_score_gemma":0.00002465011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086476,"about_ca_topic_score_gemma":0.000001243427,"domain_scores_codex":[0.9988083,0.00009391584,0.0003601449,0.0003290364,0.00018596,0.0002226947],"domain_scores_gemma":[0.999486,0.00003993585,0.0002358336,0.0001139624,0.00004420345,0.00008001568],"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":[0.0001482211,0.000007785316,0.00009836526,0.0002456987,0.000004116858,0.000001056438,0.0007223303,0.00001767713,0.9981133,0.00004809839,0.00006058436,0.0005327617],"study_design_scores_gemma":[0.0003636014,0.0001488303,0.00001232675,0.00006992133,0.00001603107,0.000006145459,0.0001867325,0.0002456827,0.9974467,0.00008144991,0.001250203,0.0001724401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957747,0.002851794,0.0003400081,0.0002814138,0.0001979665,0.0003272147,0.00005103886,0.00009425531,0.00008159482],"genre_scores_gemma":[0.989572,0.00005404598,0.01011518,0.0001160237,0.00006766814,0.00001836785,0.000009430541,0.00002058911,0.00002672979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009775168,"threshold_uncertainty_score":0.557532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291215553523074,"score_gpt":0.2271913324224748,"score_spread":0.2142791768872441,"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."}}