{"id":"W4362699247","doi":"10.3390/met13040725","title":"Process Parameter Optimization of 2507 Super Duplex Stainless Steel Additively Manufactured by the Laser Powder Bed Fusion Technique","year":2023,"lang":"en","type":"article","venue":"Metals","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Fusion; Keyhole; Porosity; Laser power scaling; 3D printing; Laser; Composite material; Power density; Power (physics); Welding; Optics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002903611,0.0002366229,0.0003009318,0.0001028239,0.00008706714,0.00005465481,0.0002223959,0.0001212451,0.001134537],"category_scores_gemma":[0.00008863005,0.0001616652,0.00006757696,0.000247195,0.00006627668,0.0002061893,0.00005629809,0.0001166403,0.00003652983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002104472,"about_ca_system_score_gemma":0.00001418228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008995671,"about_ca_topic_score_gemma":0.000002643653,"domain_scores_codex":[0.9988785,0.00007023227,0.0003097185,0.0002178326,0.0002457331,0.0002780264],"domain_scores_gemma":[0.9993708,0.0001885874,0.0000819081,0.0002160108,0.00009938214,0.00004335965],"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":[0.0001120523,0.00009480284,0.00004015803,0.001429691,0.0003507586,0.00001137295,0.00146286,0.7515458,0.1988547,0.00004701854,0.04137211,0.004678742],"study_design_scores_gemma":[0.0001997087,0.00002726949,0.0003485021,0.00004694091,0.00003820919,0.00000247301,0.0001630913,0.004299143,0.9872414,0.0002114944,0.007201653,0.0002200545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743013,0.0001666585,0.0220971,0.0001853578,0.0002035818,0.0008906596,0.00102884,0.0005804564,0.0005459979],"genre_scores_gemma":[0.9977655,0.0000955778,0.0006940413,0.00006729116,0.00005993558,0.0003066669,0.0004260489,0.00006537676,0.0005196096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7883868,"threshold_uncertainty_score":0.9997786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312580764354371,"score_gpt":0.2339972913807914,"score_spread":0.2208714837372477,"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."}}