{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005178434,0.0003048951,0.00009358986,0.0002304322,0.0001006042,0.0002130482,0.0001602966,0.0002506313,0.001095688],"category_scores_gemma":[0.00007135155,0.0001804318,0.000227771,0.0001244661,0.0001211203,0.0001449568,0.0001703226,0.0002581981,0.0004036365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320198,"about_ca_system_score_gemma":0.000098516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002951906,"about_ca_topic_score_gemma":0.001349252,"domain_scores_codex":[0.9999435,0.000003531858,0.000003700307,0.00001315879,0.00002357161,0.00001250633],"domain_scores_gemma":[0.9999468,0.00000860076,0.0000150528,0.0000107773,0.00000898489,0.000009779661],"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":[0.00001067802,0.000006766261,0.00009753843,0.00001434922,0.000002565131,0.0000530753,0.00001206811,0.0008398985,0.996409,0.0001484564,0.00003063159,0.002374863],"study_design_scores_gemma":[0.000002418044,0.00006183309,0.001030715,0.00000166514,0.000004570371,0.0000788458,0.00001010193,0.003443375,0.9939726,0.00003991064,0.001347663,0.000006218291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722048,0.0002879954,0.0217219,0.00002385104,0.00005523892,0.00001717471,0.0002674633,0.0004305527,0.00499094],"genre_scores_gemma":[0.9751169,0.0001927773,0.02167669,0.00002282388,0.000006891765,0.00002205672,0.0002050777,0.00003659011,0.002720203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001095688,"threshold_uncertainty_score":0.003665447,"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."}}