{"id":"W4410881233","doi":"10.1016/j.jajp.2025.100319","title":"Data-driven parameter optimization for bead geometry in wire arc additive manufacturing of 17-4 PH stainless steel","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Joining Processes","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bead; Arc (geometry); Materials science; Geometry; Mechanical engineering; Composite material; Engineering drawing; Metallurgy; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002715677,0.0002324974,0.0005667473,0.0004585074,0.00005789039,0.0000571933,0.0004098755,0.00008734233,0.0000438122],"category_scores_gemma":[0.000833017,0.0002120098,0.00005384345,0.0002986116,0.00004895598,0.000933182,0.00008874675,0.0002146137,2.929028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007126106,"about_ca_system_score_gemma":0.0001490505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001176771,"about_ca_topic_score_gemma":0.000009767119,"domain_scores_codex":[0.9985073,0.00002239649,0.0007778725,0.0002191905,0.0001979555,0.0002753194],"domain_scores_gemma":[0.9981726,0.0007390035,0.0004769705,0.0002021691,0.0003610318,0.00004825319],"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":[0.0002461243,0.00005262507,0.00008300993,0.003299285,0.0001303983,0.000009101675,0.0002629233,0.9696059,0.001123106,0.00001388157,0.0005675403,0.0246061],"study_design_scores_gemma":[0.003029495,0.0003811336,0.001659937,0.005315679,0.0001728704,0.00002390682,0.00188844,0.01925481,0.9510248,0.001997677,0.01463016,0.0006211172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6459094,0.002742367,0.3484817,0.00009785966,0.0007587256,0.0004800655,0.0009864437,0.0000933129,0.0004501975],"genre_scores_gemma":[0.9441819,0.0009633512,0.05447383,0.00004672325,0.0001201609,0.00002464284,0.0001021946,0.00004138304,0.00004587579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9503511,"threshold_uncertainty_score":0.8645509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052125358819266,"score_gpt":0.274744917768982,"score_spread":0.2542236641807893,"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."}}