{"id":"W4403125251","doi":"10.1109/ivecivesc60838.2024.10694966","title":"Electropolishing Additively Manufactured RF Components: An Investigation into Aluminum Texture and RF Losses","year":2024,"lang":"en","type":"article","venue":"","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Electropolishing; Materials science; Texture (cosmology); Aluminium; Radio frequency; Metallurgy; Optoelectronics; Computer science; Physics; Electrode; Artificial intelligence; Telecommunications","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":[0.00009156096,0.0001906564,0.0001434037,0.0001545858,0.00008950067,0.0002473565,0.0001442237,0.00014853,0.00002211472],"category_scores_gemma":[0.00002578861,0.0001708622,0.00002535035,0.0001650803,0.00009508169,0.000453989,0.00003622067,0.000399516,0.00001232231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123723,"about_ca_system_score_gemma":0.00002113471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804013,"about_ca_topic_score_gemma":0.0001606563,"domain_scores_codex":[0.9991763,0.00001302897,0.0001337402,0.0002550479,0.0001114383,0.0003103955],"domain_scores_gemma":[0.9996791,0.00005177076,0.00001091203,0.0001754229,0.00001467895,0.00006807493],"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":[0.00001500232,0.0000414641,0.001064908,0.001104674,0.0005305736,0.0001080596,0.007823287,0.002287045,0.7579381,0.03909888,0.0597514,0.1302366],"study_design_scores_gemma":[0.00039069,0.0002724535,0.005330119,0.0004967113,0.00008318252,0.0001369583,0.00160039,0.1527479,0.7292103,0.08715382,0.02140068,0.001176724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852285,0.003471514,0.00486359,0.0007050957,0.0001675846,0.00009973675,0.000008137768,0.004592392,0.0008634169],"genre_scores_gemma":[0.997501,0.0002806523,0.001736706,0.00006951312,0.000084507,0.00001485198,0.00006170049,0.00003962053,0.0002115164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1504609,"threshold_uncertainty_score":0.6967559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089338848913783,"score_gpt":0.2261098584681303,"score_spread":0.2152164699789924,"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."}}