{"id":"W4388813100","doi":"","title":"Modelling and Simulation of Laser Beam Melting Additive Manufacturing process","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Selective laser melting; Laser beams; Materials science; Process (computing); Laser; Process engineering; Computer science; Mechanical engineering; Optics; Composite material; Engineering; Microstructure; Physics","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":[0.0002570275,0.0005459145,0.0009652862,0.0005887723,0.0007058682,0.001196646,0.001065772,0.002372421,0.005338919],"category_scores_gemma":[0.0008293031,0.0005855078,0.001255299,0.0007346958,0.0005301678,0.0005578957,0.0004691976,0.0005661286,0.0005890134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008724145,"about_ca_system_score_gemma":0.001036303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301274,"about_ca_topic_score_gemma":0.004818319,"domain_scores_codex":[0.9997929,0.00003856118,0.00001102047,0.00002864113,0.00008685197,0.00004205912],"domain_scores_gemma":[0.9995419,0.0002728102,0.0000501191,0.00003906847,0.00007649309,0.00001955615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002316758,0.00001922968,0.000227188,0.00003132966,0.00000645606,0.00005310659,0.00001624126,0.9959159,0.001511685,0.0005851056,0.00007128221,0.001539269],"study_design_scores_gemma":[0.000005252366,0.00001807835,0.0001801684,0.000002886955,0.000003782481,0.00001345314,0.000007140977,0.9983134,0.0009759796,0.0001974893,0.000278804,0.000003523321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6843022,0.001402843,0.2405611,0.0006214888,0.0002486827,0.0002834487,0.001027099,0.001281883,0.07027127],"genre_scores_gemma":[0.9776927,0.0003454605,0.01066867,0.00003240653,0.0000176261,0.0001454994,0.0002329728,0.00006370855,0.01080107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301274,"threshold_uncertainty_score":0.02587402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506586015170716,"score_gpt":0.2232047812182909,"score_spread":0.2081389210665837,"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."}}