{"id":"W4367310762","doi":"10.3390/met13050859","title":"A Review on Extrusion Additive Manufacturing of Pure Copper","year":2023,"lang":"en","type":"review","venue":"Metals","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Extrusion; Copper; Raw material; Materials science; Nozzle; Sintering; Metallurgy; 3D printing; Electronics; Mechanical engineering; Composite material; Process 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000361706,0.0005810177,0.002304127,0.0003751758,0.00004477561,0.00001551534,0.0005150051,0.0003455859,0.000195698],"category_scores_gemma":[0.0002806685,0.0004361653,0.0006836728,0.000248724,0.00005909448,0.0000471637,0.0002370878,0.0006893806,0.001124736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009262564,"about_ca_system_score_gemma":0.00002001148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001578321,"about_ca_topic_score_gemma":0.000001132779,"domain_scores_codex":[0.9982105,0.00009440894,0.0007343276,0.0003878968,0.0002362865,0.0003365898],"domain_scores_gemma":[0.9985057,0.0004418539,0.0002799871,0.0007016147,0.00002472698,0.0000460992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.567112e-7,0.000006467386,3.632261e-9,0.08293293,0.0002605022,0.000008915217,0.000005499699,0.00001683608,3.652643e-7,0.00004411223,0.02540463,0.8913194],"study_design_scores_gemma":[0.00003169714,0.00002021836,4.044723e-7,0.1521322,0.0004844235,0.000007662288,0.000004269072,0.000003644431,0.003137711,0.0001143922,0.8437294,0.0003339642],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000008247829,0.9947193,0.00005854325,0.00001206627,0.0002831957,0.0007561034,0.0003534733,0.001522144,0.002286982],"genre_scores_gemma":[0.00002793425,0.9985176,0.0002466108,0.00002724626,0.00009654952,0.000245024,0.000158275,0.0001563984,0.0005243698],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8909854,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06941991345584723,"score_gpt":0.3145010373520413,"score_spread":0.245081123896194,"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."}}