{"id":"W3130335793","doi":"10.1109/ojpel.2021.3052541","title":"Current and Potential Applications of Additive Manufacturing for Power Electronics","year":2021,"lang":"en","type":"article","venue":"IEEE Open Journal of Power Electronics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Electronics; Power electronics; Component (thermodynamics); Electronic component; Manufacturing engineering; Computer science; Power (physics); Electronic equipment; Systems engineering; Engineering; Electrical 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":[0.0002814919,0.0001949949,0.0003746487,0.0001314103,0.00009209076,0.00008730959,0.0004789793,0.00009896028,0.00004938084],"category_scores_gemma":[0.000045623,0.0001908506,0.0001383669,0.0001093438,0.00006105343,0.0002059352,0.0001143771,0.0005846802,0.000001854451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308828,"about_ca_system_score_gemma":0.0001961868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.26881e-7,"about_ca_topic_score_gemma":0.000004106983,"domain_scores_codex":[0.9987543,0.00002659068,0.0004540316,0.0001843009,0.0001746429,0.0004061549],"domain_scores_gemma":[0.9990721,0.0001136464,0.0002555271,0.000234945,0.0002551996,0.00006854878],"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":[0.0004217429,0.0006949876,0.00006478227,0.0005281721,0.002478905,0.00007627234,0.0009783997,0.009760696,0.07180563,0.0195349,0.02407029,0.8695852],"study_design_scores_gemma":[0.0006756426,0.0002885454,0.0001708527,0.00008653778,0.00007928205,0.0001523178,0.0001589691,0.000155363,0.8341638,0.009767691,0.1540733,0.0002276231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267144,0.02332192,0.3466631,0.0002945789,0.0008639529,0.0007848099,0.0001576145,0.0001326317,0.001066962],"genre_scores_gemma":[0.9926092,0.00342407,0.003761728,0.00001302865,0.00006938672,0.00002741681,0.000008955869,0.00004018673,0.00004601306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8693576,"threshold_uncertainty_score":0.7782661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904264453060212,"score_gpt":0.2565142693130771,"score_spread":0.247471624782475,"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."}}