{"id":"W4410005884","doi":"10.3390/jmmp9050147","title":"Laser Powder Bed Fusion Processing of UNS C64200 Aluminum–Silicon–Bronze","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Bronze; Fusion; Materials science; Aluminium; Silicon; Metallurgy; Laser; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002824479,0.0002566519,0.0002129759,0.0003968174,0.0001592266,0.0003316224,0.0002211025,0.0001993902,0.001130245],"category_scores_gemma":[0.0001974582,0.0001845252,0.0002176892,0.0003827414,0.0002040535,0.0002192292,0.0001607879,0.0002750705,0.00034429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979338,"about_ca_system_score_gemma":0.0003091352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295522,"about_ca_topic_score_gemma":0.005046516,"domain_scores_codex":[0.9997662,0.00001429271,0.00001057531,0.0000338166,0.0001448439,0.00003028359],"domain_scores_gemma":[0.9999114,0.00001330323,0.00002845657,0.000008664902,0.00002886693,0.000009270912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002773754,0.0000102758,0.0001246799,0.00003126894,0.000002154467,0.00001591957,0.000009607436,0.0002576092,0.9978363,0.0000676229,0.0000242062,0.001592749],"study_design_scores_gemma":[0.000004716026,0.0001924382,0.001998159,0.000002283738,0.000005034749,0.00002976252,0.00001526271,0.0008287376,0.9951684,0.00001838413,0.001733666,0.000003193629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902657,0.0002524938,0.006172049,0.00002183587,0.00001791125,0.00004474233,0.0002078301,0.00009450288,0.002923028],"genre_scores_gemma":[0.9830792,0.0002293579,0.01319328,0.00001471318,0.000003925013,0.00003903599,0.0002281409,0.00004553319,0.003166866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001295522,"threshold_uncertainty_score":0.00378108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00765231323810095,"score_gpt":0.2258241382059582,"score_spread":0.2181718249678573,"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."}}