{"id":"W4413216989","doi":"10.1115/gt2025-152506","title":"Micro-Mixing Injector Manufacturing in Refractory Metal Using Laser Powder Bed Fusion Process","year":2025,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"","keywords":"Refractory metals; Injector; Mixing (physics); Materials science; Combustor; Nozzle; Operability; Combustion; Process engineering; Mechanical engineering; Process (computing); Refractory (planetary science); Metallurgy; Computer science; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001309962,0.0002508013,0.0002781023,0.0002349429,0.00009729513,0.00009994167,0.0001539297,0.0001175841,0.0005907737],"category_scores_gemma":[0.00002441762,0.0002282084,0.00004560204,0.0001552461,0.00002400861,0.000299452,0.00007200624,0.000190939,0.00001438049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105847,"about_ca_system_score_gemma":0.00003291982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001123138,"about_ca_topic_score_gemma":0.00006111875,"domain_scores_codex":[0.9989425,0.00002551896,0.0003098015,0.0002645866,0.0001163166,0.0003412824],"domain_scores_gemma":[0.9996765,0.00006223661,0.00003633165,0.0001539955,0.00002843206,0.00004250468],"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":[0.0001463465,0.0001567857,0.0014567,0.003639655,0.0002202291,0.00008211585,0.001150687,0.05729816,0.9248656,0.00005155083,0.0009069222,0.01002527],"study_design_scores_gemma":[0.0003259968,0.000009149009,0.001961395,0.0002033833,0.00001800217,0.000003357767,0.0001745057,0.0007604458,0.9940655,0.0003415279,0.00186551,0.0002711847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919655,0.0002183185,0.0008983354,0.00001660152,0.0005062548,0.0001708352,0.00001259421,0.0003028078,0.005908785],"genre_scores_gemma":[0.9985426,0.00003183142,0.0007257083,0.00008329905,0.0000879114,0.00001545506,0.00001402822,0.0000388277,0.0004603571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06919996,"threshold_uncertainty_score":0.930607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095145300976743,"score_gpt":0.2449172254436706,"score_spread":0.2339657724339032,"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."}}