{"id":"W4386454747","doi":"10.1002/9781119210801.ch2","title":"Basics of Metal Additive Manufacturing","year":2021,"lang":"en","type":"other","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Weldability; Materials science; Extrusion; Fabrication; Alloy; Mechanical engineering; Metallurgy; Metal powder; Process engineering; Compatibility (geochemistry); Lamination; Powder metallurgy; Deposition (geology); Metal; Composite material; Engineering; Microstructure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004504831,0.0008485626,0.0005600365,0.001410195,0.0009689674,0.002131607,0.001307461,0.001463072,0.03341649],"category_scores_gemma":[0.0007282919,0.0006462353,0.0006188833,0.001336981,0.001020247,0.002025404,0.001310916,0.001903987,0.02627264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008823793,"about_ca_system_score_gemma":0.0006981498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008873005,"about_ca_topic_score_gemma":0.0008400473,"domain_scores_codex":[0.9993562,0.00004033606,0.00004206778,0.00009941326,0.0004117803,0.00005022902],"domain_scores_gemma":[0.9997603,0.00005863481,0.00001872109,0.00004286694,0.0001028471,0.0000165835],"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":[0.00006895166,0.0001497537,0.0004449653,0.001765427,0.00001529455,0.0005449817,0.0007035572,0.004662796,0.02631257,0.4358601,0.07437471,0.4550969],"study_design_scores_gemma":[0.000003525939,0.00004414864,0.0002237998,0.0002460083,0.000003551263,0.000542123,0.0000634808,0.001282933,0.004647357,0.03892872,0.9539965,0.00001785794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006345873,0.06515524,0.1898103,0.004949123,0.002843414,0.0004047361,0.001531435,0.002583192,0.7263767],"genre_scores_gemma":[0.09027911,0.1165728,0.286729,0.002985169,0.002076869,0.0008681764,0.002592979,0.0009453729,0.4969504],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03341649,"threshold_uncertainty_score":0.1117893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265865226941741,"score_gpt":0.2121927110544252,"score_spread":0.1995340587850078,"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."}}