{"id":"W4236605048","doi":"10.32920/ryerson.14653614","title":"The Impact of Defects on Tensile Strength and Modulus of 3D Printed Parts Manufactured by Fused deposition Modeling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fused deposition modeling; 3D printing; Ultimate tensile strength; Materials science; 3d printed; Composite material; Deposition (geology); Modulus; Mechanical engineering; Engineering drawing; Manufacturing engineering; 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":[0.0004686845,0.0004470111,0.0002470644,0.0005332726,0.0001340373,0.0005256693,0.0003704773,0.0005825387,0.0008529226],"category_scores_gemma":[0.001308825,0.0002690468,0.0005675429,0.0003521884,0.0003398986,0.0003979345,0.0002353383,0.0003095253,0.000233139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002380317,"about_ca_system_score_gemma":0.0001831729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098691,"about_ca_topic_score_gemma":0.001254887,"domain_scores_codex":[0.9995426,0.00003442214,0.00003048746,0.00006070277,0.0002981525,0.00003367784],"domain_scores_gemma":[0.9985077,0.0007255946,0.0003544212,0.0001862912,0.0001982953,0.00002760966],"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":[0.0004818359,0.0001318247,0.01861561,0.0003765004,0.00007526137,0.0008790895,0.0002609168,0.2817931,0.6398649,0.000799969,0.0003816115,0.05633927],"study_design_scores_gemma":[0.000009345301,0.0009642276,0.03750119,0.00004634856,0.0001083814,0.000657111,0.0001584338,0.4120252,0.5466427,0.0002640011,0.001560493,0.00006251988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825826,0.0004469666,0.01475464,0.00003754192,0.00001754839,0.000008333626,0.0001720474,0.00017577,0.001804561],"genre_scores_gemma":[0.99549,0.0001585555,0.00382168,0.000007273472,0.000001495709,0.000006254686,0.00009897834,0.00002072539,0.0003949412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098691,"threshold_uncertainty_score":0.002853274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251865191961428,"score_gpt":0.2308798406393039,"score_spread":0.2183611887196897,"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."}}