{"id":"W4285305606","doi":"10.1016/j.procir.2022.04.080","title":"Electropolishing of 316L stainless steel parts elaborated by selective laser melting: from laboratory to pilot scale","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Electropolishing; Materials science; Dissolution; Selective laser melting; Surface roughness; Surface finish; Metallurgy; Surface finishing; Electrolyte; Composite material; Electrode; Microstructure; Chemical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004250949,0.0004645167,0.0004148829,0.0003698087,0.0002098457,0.0003380656,0.0004347784,0.0005067142,0.001028508],"category_scores_gemma":[0.0006506228,0.0002302129,0.00047808,0.0003655686,0.0003864681,0.000306506,0.0004202664,0.00060294,0.0005413399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379402,"about_ca_system_score_gemma":0.0002202837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003295355,"about_ca_topic_score_gemma":0.0006799822,"domain_scores_codex":[0.9996604,0.00004153602,0.00002726104,0.00006762878,0.0001579091,0.0000452202],"domain_scores_gemma":[0.9996368,0.00007972754,0.00009533424,0.00008122532,0.0000775632,0.00002933278],"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":[0.00003943285,0.0000304903,0.0001283653,0.00007105024,0.000004829822,0.00007531632,0.0000428423,0.0001286061,0.9967113,0.00002752258,0.00002524304,0.002715088],"study_design_scores_gemma":[0.000004692076,0.000549885,0.001538812,0.000004945763,0.00001332773,0.0001087673,0.00001923872,0.0003362726,0.9965582,0.00001333608,0.0008475187,0.000005036989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846245,0.0005255209,0.01322713,0.00003794447,0.00002051177,0.0001352936,0.0002482525,0.0002105034,0.0009702919],"genre_scores_gemma":[0.9773538,0.0004624478,0.02024811,0.00002591617,0.00001138908,0.00007993514,0.0002818941,0.00008256919,0.001453981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028508,"threshold_uncertainty_score":0.003440678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005600552292168969,"score_gpt":0.1934891927995108,"score_spread":0.1878886405073418,"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."}}