{"id":"W7131083752","doi":"10.1115/imece2025-165904","title":"Numerical Investigation of CMT-WAAM: Effects of Substrate Preheating on Molten Pool Dynamics and Thermal History","year":2025,"lang":"","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Deposition (geology); Wetting; Thermal; Multiphysics; Heat transfer; Work (physics); Homogeneity (statistics); Substrate (aquarium); Contact angle","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":[0.0002455185,0.0003164819,0.0003474313,0.0003204354,0.0003514811,0.0005199049,0.0004310914,0.0008181393,0.001529961],"category_scores_gemma":[0.0009020989,0.0002111066,0.000401867,0.0002750152,0.0003923093,0.0002707284,0.0003434938,0.0003708575,0.0001159184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826951,"about_ca_system_score_gemma":0.0005486129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007100596,"about_ca_topic_score_gemma":0.004929585,"domain_scores_codex":[0.9999144,0.00001649707,0.000004848611,0.00001505731,0.00002705814,0.0000220551],"domain_scores_gemma":[0.999561,0.0002660792,0.00005792373,0.00003195684,0.00005691633,0.00002603505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001328718,0.0001048469,0.005449445,0.0001006061,0.00002162248,0.0003303336,0.00008552348,0.9550048,0.03158965,0.001550614,0.0002391945,0.005390507],"study_design_scores_gemma":[0.000007015181,0.00003612013,0.0005546408,0.000003156094,0.000002400792,0.00001254395,0.00001451393,0.9965523,0.002643382,0.00005132845,0.0001189178,0.000003644016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978798,0.0001176748,0.01547777,0.000116085,0.00002653739,0.0000488412,0.0002247752,0.0001467819,0.005043597],"genre_scores_gemma":[0.9940339,0.0000398228,0.005080224,0.00001047686,0.000002265609,0.00002566805,0.00005957127,0.00001344737,0.0007345958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007100596,"threshold_uncertainty_score":0.01411849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00641435182724175,"score_gpt":0.1937688861715512,"score_spread":0.1873545343443095,"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."}}