{"id":"W4391987017","doi":"10.18260/1-2--37353","title":"Integrating 3D Printing into Engineering Technology Curriculum","year":2024,"lang":"en","type":"article","venue":"2021 ASEE Virtual Annual Conference Content Access Proceedings","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Ohio Department of Higher Education","keywords":"Coursework; Process (computing); Engineering management; Rapid prototyping; Curriculum; 3D printing; Manufacturing engineering; Engineering; Engineering education; Order (exchange); Computer science; Systems engineering; Mechanical engineering; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002664155,0.0005448626,0.0004545462,0.0008650482,0.0001702457,0.001108094,0.001063268,0.0003405108,0.000146227],"category_scores_gemma":[0.0008409328,0.0004908398,0.0001223065,0.00103375,0.0001703363,0.001485749,0.0008426395,0.001266689,0.0001280552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574712,"about_ca_system_score_gemma":0.00004817571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005425184,"about_ca_topic_score_gemma":0.000007938383,"domain_scores_codex":[0.9977326,0.000005876633,0.0005474721,0.0007080732,0.0003025796,0.0007033495],"domain_scores_gemma":[0.9990342,0.00008607835,0.0000752624,0.0002034453,0.0004876471,0.000113394],"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":[0.00001523558,0.00008131055,0.007197207,0.001601356,0.0005113346,0.0001232483,0.005042913,0.0009410843,0.04610639,0.1500168,0.003808067,0.784555],"study_design_scores_gemma":[0.0007818788,0.0005571489,0.002820748,0.006899795,0.0001929034,0.0001533544,0.0451735,0.4174035,0.4661588,0.005936471,0.05022093,0.003700973],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604241,0.0006609851,0.02856026,0.0006048977,0.001028926,0.00032663,0.0000236331,0.006330478,0.002040144],"genre_scores_gemma":[0.9955444,0.0001283806,0.003502839,0.00002039248,0.0002665336,0.0001752349,0.00001447978,0.00008741087,0.0002603105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.780854,"threshold_uncertainty_score":0.9999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039647683508132,"score_gpt":0.2475237825463148,"score_spread":0.2271273057112335,"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."}}