{"id":"W2798050947","doi":"10.1108/rpj-03-2017-0043","title":"Additive manufacturing of shape memory polymers: effects of print orientation and infill percentage on mechanical properties","year":2018,"lang":"en","type":"article","venue":"Rapid Prototyping Journal","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Infill; Materials science; Extrusion; Composite material; Shape-memory polymer; Ultimate tensile strength; 3D printing; Fused deposition modeling; Polymer; Elastic modulus; Layer (electronics); Shape-memory alloy; Structural engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002311696,0.0001824952,0.0002543275,0.000217845,0.0001168135,0.00002699555,0.0001559592,0.0001009082,0.0001060768],"category_scores_gemma":[0.0001458938,0.0001484109,0.00006639925,0.00005400267,0.0001974279,0.0001390485,0.00007810607,0.0003792006,0.000004187481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004934092,"about_ca_system_score_gemma":0.00001583035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004106744,"about_ca_topic_score_gemma":5.056102e-7,"domain_scores_codex":[0.9990199,0.00005799139,0.0003292231,0.0001661031,0.000196684,0.0002300514],"domain_scores_gemma":[0.9994697,0.00009772233,0.0001549661,0.0001598578,0.00006209967,0.00005564354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002410234,0.00006507287,0.0000417844,0.0009831114,0.0002330657,0.00001289582,0.002129002,0.00008498952,0.1037516,0.0003136095,0.00006434877,0.8920795],"study_design_scores_gemma":[0.0004558754,0.0005890268,0.003832698,0.001029757,0.00002115319,0.00003940361,0.0004216818,0.001085989,0.9917612,0.0002828659,0.0003238445,0.0001564728],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970387,0.0002477443,0.001198365,0.00002701187,0.0002621805,0.0005904355,0.000004576407,0.0001724811,0.0004584912],"genre_scores_gemma":[0.9979324,0.000250805,0.001584574,0.00001375038,0.0001392604,0.00004140605,0.000001098371,0.00002762077,0.000009068395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8919231,"threshold_uncertainty_score":0.6052021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207514432163725,"score_gpt":0.2199659221999212,"score_spread":0.207890777878284,"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."}}