{"id":"W4399708882","doi":"10.1002/adem.202401130","title":"The Effects of Shear Stress on the Micromechanical Properties of 3D Printable Biopolymer Nanocomposites Using a Custom‐Designed Extrusion‐Based 3D Printer","year":2024,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Materials science; Extrusion; 3D printing; Biopolymer; Composite material; 3d printer; Nanocomposite; Shear stress; Shear (geology); Stress (linguistics); Mechanical engineering; Polymer; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002000171,0.0002650468,0.0003049108,0.0001249237,0.00008038939,0.00007292855,0.0003347547,0.00009471926,0.00001981925],"category_scores_gemma":[0.0001741503,0.0001563757,0.00006814981,0.0001556166,0.00009447855,0.00007629344,0.0001287516,0.0001619561,0.000006225815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005193738,"about_ca_system_score_gemma":0.00001351539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008663682,"about_ca_topic_score_gemma":2.315574e-7,"domain_scores_codex":[0.9989247,0.00003902126,0.000360505,0.0002099857,0.0001538058,0.0003120073],"domain_scores_gemma":[0.9990004,0.0004724614,0.00005483969,0.0004189925,0.0000299171,0.00002342827],"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":[0.00002537582,0.00001395091,0.000001023501,0.00135093,0.00007659059,0.000003645175,0.00006432381,0.04551534,0.9498314,0.0006102521,0.000007056535,0.002500104],"study_design_scores_gemma":[0.0001194088,0.00006264033,0.00002960992,0.002393423,0.00002585927,0.000002887621,0.00001966839,0.01263331,0.9841815,0.00003122047,0.0003214041,0.0001790243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853587,0.001093343,0.01139824,0.00003417979,0.0009137939,0.0004275933,0.00002195133,0.000729915,0.00002232203],"genre_scores_gemma":[0.9938223,0.00007187581,0.005879084,0.000004891234,0.00003868162,0.00008353878,0.000001974472,0.00007022481,0.00002738499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03435013,"threshold_uncertainty_score":0.6376815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008998178763298672,"score_gpt":0.2045627799019876,"score_spread":0.1955646011386889,"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."}}