{"id":"W2905130132","doi":"10.1007/s12008-018-0520-6","title":"Multiphysics modeling and simulation of laser additive manufacturing process","year":2018,"lang":"en","type":"article","venue":"International Journal on Interactive Design and Manufacturing (IJIDeM)","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Mechanical engineering; Multiphysics; Heat transfer; Materials science; Thermal conductivity; Computer science; Finite element method; Mechanics; Engineering; Composite material; Structural engineering","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":[0.0003137166,0.0004831338,0.0007583393,0.0006270195,0.0008040775,0.001159184,0.001168213,0.001781646,0.003963144],"category_scores_gemma":[0.0009211396,0.0006545481,0.0009588161,0.0008121804,0.00053591,0.0008473607,0.0005131532,0.0006938233,0.0004403611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105514,"about_ca_system_score_gemma":0.001454898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422331,"about_ca_topic_score_gemma":0.005619235,"domain_scores_codex":[0.9997656,0.00004058856,0.00001122087,0.00003130282,0.0001092113,0.00004211356],"domain_scores_gemma":[0.9995455,0.0002447307,0.00006008856,0.00004111039,0.00008061177,0.00002791064],"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":[0.00001660353,0.00004200688,0.0002347563,0.0000179765,0.000006671614,0.00003265701,0.00001949448,0.9957876,0.001202283,0.001317495,0.00008099678,0.001241463],"study_design_scores_gemma":[0.000003364825,0.000008235113,0.0001025809,0.000001155411,0.00000185202,0.000005131,0.000004178976,0.9992396,0.0003078373,0.0001733895,0.0001500377,0.000002668025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5912555,0.001454731,0.326952,0.001076043,0.0003229674,0.0002568646,0.0008373514,0.001269379,0.07657515],"genre_scores_gemma":[0.9769265,0.0003723382,0.015493,0.00007383994,0.00002471095,0.0001452359,0.0001715819,0.00007905975,0.006713724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01422331,"threshold_uncertainty_score":0.02828103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997385273383962,"score_gpt":0.280256293593779,"score_spread":0.2602824408599393,"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."}}