{"id":"W4386454744","doi":"10.1002/9781119210801.ch1","title":"Additive Manufacturing Process Classification, Applications, Trends, Opportunities, and Challenges","year":2021,"lang":"en","type":"other","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lamination; Process (computing); Manufacturing engineering; Key (lock); Computer science; Materials processing; Engineering; Mechanical engineering; Telecommunications; Nanotechnology; Materials science","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":[0.0006418252,0.001102366,0.0006753587,0.004881744,0.0009116881,0.005337112,0.0008857576,0.0009147936,0.01242663],"category_scores_gemma":[0.001017625,0.0003790924,0.0006280332,0.008465384,0.0006902454,0.003726618,0.000906523,0.001907126,0.01290403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831495,"about_ca_system_score_gemma":0.001132508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219707,"about_ca_topic_score_gemma":0.003753445,"domain_scores_codex":[0.9991702,0.00004255939,0.00005525977,0.0001120442,0.0005695827,0.00005037682],"domain_scores_gemma":[0.9995234,0.0000811346,0.00005457633,0.00004694716,0.0002580792,0.00003582345],"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":[0.00004439539,0.0001194761,0.0006976085,0.001893107,0.00001097523,0.000148005,0.0003154768,0.001982382,0.0103059,0.05371354,0.09020006,0.840569],"study_design_scores_gemma":[0.000001409433,0.00003561685,0.0007807384,0.0004192987,0.000006488771,0.0004065586,0.0001697469,0.001885253,0.003661514,0.007045866,0.9855713,0.00001627667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01610612,0.3586467,0.05509355,0.006988431,0.007388297,0.0003426207,0.001517986,0.001973409,0.5519429],"genre_scores_gemma":[0.04342378,0.4446419,0.06562914,0.002014758,0.002435852,0.0002175099,0.003256104,0.0008304448,0.4375505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01242663,"threshold_uncertainty_score":0.04157126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673944048105288,"score_gpt":0.2544193900098584,"score_spread":0.1870249851993296,"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."}}