{"id":"W3153326712","doi":"10.1007/978-3-030-68024-4_14","title":"Fabrication of Composite Structures via 3D Printing","year":2021,"lang":"en","type":"book-chapter","venue":"Materials forming, machining and tribology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Fabrication; 3D printing; Process (computing); Machining; Manufacturing engineering; Composite number; Layer (electronics); Extrusion; Materials science; Engineering; Mechanical engineering; Computer science; Nanotechnology; Composite material","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":[0.0001401184,0.0004802732,0.0005008884,0.0007802139,0.0003571098,0.001031091,0.0007667252,0.000595851,0.006114896],"category_scores_gemma":[0.0001968822,0.000621766,0.0006846233,0.0005698538,0.0003652101,0.0007281281,0.0006749527,0.0009996478,0.003734105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620668,"about_ca_system_score_gemma":0.0002416031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002070187,"about_ca_topic_score_gemma":0.0007904051,"domain_scores_codex":[0.9997498,0.000006413765,0.000007615931,0.00003758519,0.0001755144,0.00002293605],"domain_scores_gemma":[0.9998856,0.00003134446,0.00001292302,0.00003595007,0.00002617704,0.000007980875],"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":[0.00003396132,0.00004601619,0.00007274596,0.0005052754,0.00002200568,0.0002578749,0.0001202868,0.005238804,0.8539457,0.01890122,0.004607117,0.116249],"study_design_scores_gemma":[0.00001598707,0.0001385887,0.0008269081,0.00005489337,0.00002578731,0.0009789551,0.00002888713,0.01640224,0.8441089,0.006108788,0.1312715,0.00003853534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1075106,0.01302164,0.5414947,0.0003066332,0.001649304,0.0002558806,0.001139324,0.00556247,0.3290595],"genre_scores_gemma":[0.3070489,0.008163681,0.5624583,0.0002847654,0.0002265164,0.0002632808,0.001115846,0.0007437768,0.119695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006114896,"threshold_uncertainty_score":0.02045637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223643514656999,"score_gpt":0.2180841949511658,"score_spread":0.2058477598045958,"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."}}