{"id":"W4247499714","doi":"10.1201/9780203910795","title":"Rapid Prototyping Technology","year":2001,"lang":"en","type":"book","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Financiadora de Estudos e Projetos; Vrije Universiteit Brussel; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ministério da Ciência, Tecnologia e Inovação; Fonds Wetenschappelijk Onderzoek; Kementerian Sains, Teknologi dan Inovasi; Islamic Azad University; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Deutscher Akademischer Austauschdienst; Fundação de Amparo à Pesquisa do Estado de São Paulo; Belgian Federal Science Policy Office","keywords":"Rapid prototyping; Computer science; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009216188,0.001665625,0.00111861,0.003309394,0.0009696826,0.00265287,0.00194604,0.001360816,0.0718415],"category_scores_gemma":[0.001614812,0.0009071606,0.000811722,0.001978507,0.0005542113,0.00303275,0.001371508,0.001635683,0.08713331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007680078,"about_ca_system_score_gemma":0.0007027569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005529075,"about_ca_topic_score_gemma":0.0009653972,"domain_scores_codex":[0.9976823,0.0001383763,0.0001024279,0.000216016,0.001769569,0.00009123206],"domain_scores_gemma":[0.9992813,0.000206031,0.00004275701,0.0001333013,0.0002802222,0.00005637626],"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":[0.00006501641,0.00005493975,0.00009709189,0.001348601,0.00002410296,0.0003486358,0.0001390891,0.0009911725,0.02692764,0.02182343,0.218896,0.7292843],"study_design_scores_gemma":[0.000008953301,0.00004297392,0.0001095231,0.0001284643,0.000009517252,0.001027076,0.0000194719,0.0003971121,0.008356036,0.002611668,0.9872648,0.00002444714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002910585,0.1136685,0.2919827,0.001458216,0.006485678,0.0008140175,0.002423602,0.01773478,0.5625218],"genre_scores_gemma":[0.02444744,0.08615985,0.1711745,0.001776793,0.001223387,0.001307887,0.003379103,0.002669725,0.7078613],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0718415,"threshold_uncertainty_score":0.2403338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404461996728866,"score_gpt":0.2036644545737615,"score_spread":0.1896198346064729,"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."}}