{"id":"W2739977480","doi":"10.2351/1.5060085","title":"Laser 3D prototypes forming from metal and ceramic materials","year":2003,"lang":"en","type":"article","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":"Selective laser sintering; Rapid prototyping; Materials science; Ceramic; Sintering; Laser; Selective laser melting; Cladding (metalworking); Layer (electronics); Mechanical engineering; Process engineering; Engineering drawing; Computer science; Composite material; Microstructure; Engineering; Optics","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":[0.000536096,0.0005312802,0.0004082766,0.000641189,0.0003810721,0.001481845,0.001266512,0.001008147,0.01725623],"category_scores_gemma":[0.0007178806,0.0005386627,0.0009895698,0.0002690371,0.0006612416,0.0008818259,0.0008797718,0.00072507,0.005166708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108701,"about_ca_system_score_gemma":0.0004880244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002653221,"about_ca_topic_score_gemma":0.0004452034,"domain_scores_codex":[0.9993336,0.00008302893,0.00002542941,0.0000815282,0.0004240292,0.00005249374],"domain_scores_gemma":[0.9995124,0.0001638905,0.00003183383,0.0001590249,0.00008339809,0.00004939175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004225287,0.0001847476,0.0006406707,0.002130824,0.00007996753,0.002000478,0.0007583874,0.01550617,0.681076,0.05695655,0.01753212,0.2227116],"study_design_scores_gemma":[0.0001219446,0.001087202,0.003066157,0.0001944279,0.00009974732,0.007083034,0.0003271363,0.02945023,0.4336133,0.01167576,0.5130711,0.0002099827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1158432,0.004459265,0.7447822,0.0008190022,0.002316425,0.0005795271,0.001521212,0.007817094,0.121862],"genre_scores_gemma":[0.4411664,0.003319908,0.4937265,0.0003301337,0.0002033452,0.000604394,0.00113478,0.0004985231,0.05901601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01725623,"threshold_uncertainty_score":0.05772781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041257668830847,"score_gpt":0.2002022153612508,"score_spread":0.1897896386729423,"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."}}