{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000507023,0.0003339126,0.0007030537,0.0003278528,0.0001700848,0.0002676033,0.0002277114,0.000164256,0.0001372635],"category_scores_gemma":[0.00004749304,0.0002739992,0.00006914949,0.0001030674,0.0001027614,0.0005404703,0.00008977963,0.0001913487,0.000001982997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004846512,"about_ca_system_score_gemma":0.0001019383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009860066,"about_ca_topic_score_gemma":0.000001978693,"domain_scores_codex":[0.9981964,0.00005104887,0.0009479803,0.0002105455,0.0002536163,0.0003404041],"domain_scores_gemma":[0.9990463,0.00006456036,0.0004914808,0.0001317986,0.0001719116,0.00009391129],"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":[0.0002767629,0.0001000838,0.00003887641,0.009717212,0.0001638081,0.00004455278,0.001120579,0.0007821593,0.6791281,0.00001883979,0.0009332131,0.3076759],"study_design_scores_gemma":[0.0006482712,0.00006150216,0.001803173,0.001786532,0.0001059386,0.00007214002,0.00022775,0.00007455456,0.9918209,0.0007658537,0.002376679,0.0002566639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951189,0.001837952,0.001302939,0.00008095496,0.0007195851,0.0001188908,0.00002071326,0.0000907322,0.0007092941],"genre_scores_gemma":[0.9978021,0.0004298564,0.00122662,0.00005971658,0.0002807796,0.000004751136,0.000005515007,0.00004604645,0.000144648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3126929,"threshold_uncertainty_score":0.9999712,"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."}}