{"id":"W4386700211","doi":"10.1007/s00170-023-12189-0","title":"3D Printing of high melting iron alloys using metal-fused deposition modeling: a comprehensive review","year":2023,"lang":"en","type":"review","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"3D printing; Fused deposition modeling; Extrusion; Materials science; Sintering; Alloy; Deposition (geology); Metallurgy; Process (computing); Manufacturing engineering; Mechanical engineering; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.0005252054,0.0006034138,0.002016633,0.001263666,0.0001049588,0.00004532103,0.002324234,0.0004188156,0.00001175937],"category_scores_gemma":[0.0004471407,0.0004526089,0.0005966999,0.0003427525,0.0001792642,0.0002383444,0.0008202782,0.001673027,0.00001067682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066623,"about_ca_system_score_gemma":0.00008023044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001625183,"about_ca_topic_score_gemma":0.000002424377,"domain_scores_codex":[0.9966459,0.00008503284,0.001925985,0.0003423727,0.0005809446,0.0004197313],"domain_scores_gemma":[0.9966175,0.0004347302,0.001920689,0.0006025834,0.0003830911,0.00004141722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000009668915,0.00001989958,1.360202e-7,0.0114742,0.001166431,0.00009183558,0.00001928688,0.1022821,0.0003223739,0.0001761607,0.00002160969,0.8844163],"study_design_scores_gemma":[0.002331998,0.0004555234,0.000006533221,0.4987025,0.007456605,0.007013887,0.0008701826,0.03310366,0.2117201,0.02321093,0.2114874,0.003640732],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03029026,0.9560302,0.01066353,0.000192298,0.001316956,0.0005640699,0.00002759607,0.000891233,0.00002380253],"genre_scores_gemma":[0.01395426,0.9665856,0.01905724,0.00001935513,0.0001832292,0.00002797348,0.00001847149,0.0001465865,0.000007244792],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8807756,"threshold_uncertainty_score":0.9997926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0545982171379645,"score_gpt":0.3179162767658368,"score_spread":0.2633180596278724,"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."}}