{"id":"W2893706828","doi":"10.1007/s00170-018-2540-6","title":"Determining the relationships between the build orientation, process parameters and voids in additive manufacturing material extrusion processes","year":2018,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nozzle; Extrusion; Process (computing); Orientation (vector space); Mechanical engineering; Raster graphics; Process variable; Void (composites); Die (integrated circuit); Set (abstract data type); Computer science; Materials science; Engineering drawing; Process engineering; Engineering; Geometry; Mathematics; Artificial intelligence; Composite material","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":[0.0007335456,0.0002405229,0.0003299731,0.0004012308,0.0002119167,0.0005382929,0.0003431385,0.0003914387,0.0004317428],"category_scores_gemma":[0.002549224,0.0003025128,0.0001975616,0.0005067009,0.0003402532,0.000800278,0.0002318517,0.0003574738,0.0001118588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758256,"about_ca_system_score_gemma":0.0002746392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007449797,"about_ca_topic_score_gemma":0.002110888,"domain_scores_codex":[0.9996606,0.00005385213,0.00002740169,0.00006568299,0.0001632272,0.0000291805],"domain_scores_gemma":[0.9971566,0.002065313,0.0004806642,0.00008018966,0.0001901696,0.00002698812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002097797,0.0008560544,0.126584,0.0004155074,0.00009493183,0.0002620479,0.0003775452,0.1264919,0.6480041,0.0009318295,0.0001288851,0.09375543],"study_design_scores_gemma":[0.00002630733,0.001038296,0.1118019,0.00001523086,0.0001075034,0.0001745017,0.0002064009,0.1618515,0.7237441,0.0004576375,0.0005110947,0.00006547592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930516,0.0002048595,0.006465605,0.000009621547,0.000002365944,0.00000637905,0.00002919223,0.0000282048,0.0002020939],"genre_scores_gemma":[0.9985039,0.00007919723,0.00129808,0.00000198476,8.142247e-7,0.000002622928,0.00002339604,0.000007687645,0.00008227508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007449797,"threshold_uncertainty_score":0.003879368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512959374109546,"score_gpt":0.2615989508705245,"score_spread":0.246469357129429,"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."}}