{"id":"W3122099501","doi":"10.1680/jgrma.20.00066","title":"Enabling mechanically adaptive 4D printing with cellulose nanocrystals","year":2021,"lang":"en","type":"article","venue":"Green Materials","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Nanocomposite; Thermoplastic polyurethane; Composite material; Cellulose; Fabrication; 3D printing; Inkwell; Nanocrystal; Thermoplastic; Nanotechnology; Chemical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001389035,0.0002636387,0.0001867633,0.0001888032,0.0001101511,0.0003247227,0.0003089115,0.0003537039,0.0007521976],"category_scores_gemma":[0.0002470531,0.000223715,0.0003328121,0.0001682875,0.0001725627,0.0003012323,0.0002142151,0.0003691134,0.0003395977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819038,"about_ca_system_score_gemma":0.0001551429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006030032,"about_ca_topic_score_gemma":0.001623312,"domain_scores_codex":[0.9998528,0.00001169119,0.00001116588,0.00003930373,0.00006299307,0.00002200423],"domain_scores_gemma":[0.9998081,0.00005121277,0.00006301706,0.00003924212,0.00002290715,0.0000155475],"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":[0.000009038073,0.000007041288,0.00005178483,0.00001694477,0.000002690647,0.00004517851,0.00001067201,0.0004277149,0.9972293,0.0001184194,0.00003034458,0.002050824],"study_design_scores_gemma":[0.000002095521,0.00002998435,0.0002991254,0.000001330697,0.000002490117,0.00004108448,0.000003617181,0.002512745,0.9963486,0.00002178196,0.0007323106,0.00000496596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433718,0.0008151765,0.04906329,0.00008829946,0.00009530282,0.0000635283,0.0003195982,0.0006444008,0.005538721],"genre_scores_gemma":[0.9269121,0.0005355551,0.06757578,0.00006495062,0.00001683545,0.00006343491,0.0001903936,0.00009208378,0.004548965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007521976,"threshold_uncertainty_score":0.002770901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275090025256063,"score_gpt":0.1994493283905761,"score_spread":0.1866984281380155,"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."}}