{"id":"W3044361340","doi":"10.1002/adem.202000565","title":"3D‐Printed Wood‐Fiber Reinforced Architected Cellular Composites","year":2020,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Materials science; Composite material; Polylactic acid; Flexural strength; Fiber; Composite number; Cellulose; Toughness; Engineered wood; Polymer; Chemical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006300514,0.0003586606,0.0003970779,0.0001062725,0.00004961615,0.00006748698,0.0003296149,0.0001271343,0.0003166991],"category_scores_gemma":[0.0001620833,0.0003778434,0.00005850031,0.0001972676,0.00003530656,0.0001294194,0.0001434779,0.000248769,0.0002973692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004032184,"about_ca_system_score_gemma":0.000004604321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003450155,"about_ca_topic_score_gemma":8.737572e-8,"domain_scores_codex":[0.9987346,0.00001309877,0.0003676755,0.0002892527,0.0001396849,0.0004557149],"domain_scores_gemma":[0.9994065,0.00007817015,0.00004849759,0.000320782,0.00002939787,0.0001166798],"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":[0.00001071644,0.000001658068,7.912556e-7,0.0001442462,0.00003788708,0.00001101738,0.00006114085,0.3219374,0.675501,0.0001272861,0.00007908748,0.002087775],"study_design_scores_gemma":[0.0003042282,0.00004115967,0.0001464675,0.00008307189,0.00001393322,0.000004634381,0.00001296938,0.01914414,0.9716361,0.00002790903,0.008155931,0.0004294078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342133,0.00009713085,0.05693332,0.00009502932,0.0004105534,0.0002384909,0.00004518599,0.007367895,0.0005990565],"genre_scores_gemma":[0.9638413,0.00002797039,0.03565246,0.00003889109,0.0001380727,0.00004675572,0.00006233602,0.0001089389,0.00008332362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027932,"threshold_uncertainty_score":0.9998673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007578809160114739,"score_gpt":0.1838902908519119,"score_spread":0.1763114816917972,"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."}}