{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005466458,0.0003375996,0.0003250389,0.00049037,0.00005019998,0.00002301536,0.0004109804,0.0008401078,0.0007681501],"category_scores_gemma":[0.00003206646,0.0003219444,0.00008049545,0.0001000926,0.0001227064,0.00003030169,0.0001501737,0.0008683513,0.0006086417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425182,"about_ca_system_score_gemma":0.00003069452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.181276e-7,"about_ca_topic_score_gemma":0.000001385111,"domain_scores_codex":[0.9990949,0.000003178527,0.0002093675,0.0002702743,0.0000891399,0.0003331287],"domain_scores_gemma":[0.9993684,0.00003117937,0.00003928538,0.0005089903,0.00002682362,0.00002537763],"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":[0.000001139489,0.000003813773,0.000002057834,0.000178301,0.0001041619,0.00003871618,0.000006772982,0.00006355545,0.000009740881,0.01443136,0.2104048,0.7747556],"study_design_scores_gemma":[0.00006021576,0.00002191476,0.000002740829,0.0001666341,0.00001238107,0.00002405575,0.00000935355,0.0002217155,0.00740047,0.05018359,0.9415315,0.0003653976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004862235,0.001532337,0.002925158,0.0001093335,0.0002335385,0.000430138,0.000007474816,0.01365998,0.9810534],"genre_scores_gemma":[0.001260658,0.001998208,0.003674377,0.00002269922,0.0002115335,0.0001895918,0.00003492988,0.0001564706,0.9924515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7743902,"threshold_uncertainty_score":0.9999233,"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."}}