{"id":"W4413244598","doi":"10.1016/j.powtec.2025.121464","title":"Model-based optimization of process parameters in high energy impact additive manufacturing processes","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Process (computing); Process engineering; Process optimization; Energy (signal processing); Manufacturing process; Computer science; Manufacturing engineering; Industrial engineering; Biochemical engineering; Environmental science; Engineering; Materials science; Mathematics; Environmental engineering; Statistics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009973904,0.001158313,0.001039297,0.0004489517,0.0003047652,0.001231147,0.0007972125,0.00121139,0.0009427093],"category_scores_gemma":[0.001275043,0.0007580413,0.001045527,0.0006114603,0.0005245661,0.0007007752,0.0005836939,0.001117532,0.0002964242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026755,"about_ca_system_score_gemma":0.001221553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007638754,"about_ca_topic_score_gemma":0.004947582,"domain_scores_codex":[0.9995529,0.0001351162,0.00001937256,0.00007713926,0.0001720721,0.00004338856],"domain_scores_gemma":[0.9995143,0.0003007815,0.00006869095,0.00002425991,0.00007686876,0.00001506926],"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":[0.00001046381,0.00001187995,0.00007312885,0.00002537921,0.00000763799,0.00001017077,0.000007040842,0.9953153,0.000630715,0.0004470961,0.00004616786,0.00341507],"study_design_scores_gemma":[0.000002651994,0.00001050298,0.00006450462,0.000002281966,0.000002886307,0.000002307421,0.000001970623,0.9991074,0.0003930309,0.0002565632,0.000153416,0.000002419727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03925052,0.0008784177,0.9556507,0.0001410165,0.00003272116,0.00006458403,0.00009289445,0.0004721688,0.003417078],"genre_scores_gemma":[0.895385,0.0007582108,0.1002109,0.00007202466,0.00001956748,0.00027357,0.0002661277,0.0001576772,0.002856971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007638754,"threshold_uncertainty_score":0.01518857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830235092501301,"score_gpt":0.2349005886952756,"score_spread":0.2265982377702626,"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."}}