{"id":"W4410221843","doi":"10.1016/j.ijmecsci.2025.110370","title":"Effect of electropolishing post-treatment on additively manufactured Ti6Al4V lattice structures","year":2025,"lang":"en","type":"article","venue":"International Journal of Mechanical Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Biotechnology, Ministry of Science and Technology, India; National Institute of Technology Warangal; University of New Brunswick","keywords":"Electropolishing; Materials science; Titanium alloy; Lattice (music); Metallurgy; Alloy; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472682,0.0001206657,0.0002098586,0.0001732813,0.00004560041,0.00008197136,0.0004351093,0.00004580944,0.0002260151],"category_scores_gemma":[0.0002662884,0.00007464486,0.00008917711,0.00007652483,0.0000582131,0.0001618571,0.00002835145,0.0001017106,0.000002508043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007708,"about_ca_system_score_gemma":0.00004606877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002223474,"about_ca_topic_score_gemma":0.000007188353,"domain_scores_codex":[0.9990374,0.00006072921,0.0002796096,0.00009792184,0.000396368,0.0001279466],"domain_scores_gemma":[0.9990955,0.0005448742,0.000135556,0.00004264093,0.0001432282,0.00003818114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002784424,0.0002805993,0.000179083,0.0003121013,0.002107841,0.0001888028,0.0004875259,0.0347774,0.4203992,0.0869789,0.002803333,0.4487008],"study_design_scores_gemma":[0.0003498542,0.001269043,0.0006054256,0.0001231565,0.00002746189,0.00001783717,0.00002471102,0.0002058179,0.9886508,0.006300748,0.002358906,0.00006626825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941966,0.0001641658,0.001474645,0.0003996247,0.001673192,0.00006538884,0.00005768476,0.00002167256,0.001947046],"genre_scores_gemma":[0.9991894,0.0000912668,0.0004065203,0.00008978255,0.0001921114,0.000001660368,0.000002804072,0.000004735515,0.00002173751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5682516,"threshold_uncertainty_score":0.3043929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007578563784733185,"score_gpt":0.2868006845273445,"score_spread":0.2792221207426113,"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."}}