{"id":"W6930721282","doi":"10.5281/zenodo.15310081","title":"[Data] Toward Architected Microstructures Using Advanced Laser Beam Shaping in Laser Powder Bed Fusion of Ti-6Al-4V","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Fusion; Laser; Microstructure; Beam (structure); Laser beams; Laser power scaling; Inertial confinement fusion; Finite element method","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":[0.00237217,0.003878055,0.003441909,0.005597758,0.001792568,0.004223316,0.005772215,0.003857135,0.1396613],"category_scores_gemma":[0.005437939,0.001675799,0.003534364,0.007102604,0.0009241664,0.004450902,0.002270044,0.00391179,0.04864661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375583,"about_ca_system_score_gemma":0.004012943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186676,"about_ca_topic_score_gemma":0.02749404,"domain_scores_codex":[0.9961992,0.0001014266,0.0004421886,0.0004907725,0.002361981,0.0004045606],"domain_scores_gemma":[0.9961311,0.000814947,0.0005331353,0.0006105924,0.001637704,0.0002725704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006071372,0.0002080927,0.003886934,0.004765961,0.0003544616,0.0002888995,0.0001326539,0.00216248,0.009215333,0.002236002,0.9595394,0.01660257],"study_design_scores_gemma":[0.0005404297,0.000181701,0.01366984,0.0005414305,0.0002623246,0.0007525547,0.0002322051,0.008807024,0.02284409,0.005145012,0.9467537,0.0002697438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003070846,0.0004338733,0.002878511,0.0009053371,0.001479351,0.00007197122,0.9779326,0.008996352,0.004231045],"genre_scores_gemma":[0.007087754,0.0007622412,0.005340957,0.0002302311,0.000105608,0.0001798414,0.9822166,0.001259562,0.002817259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1396613,"threshold_uncertainty_score":0.4672135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406303325016892,"score_gpt":0.3058909775468268,"score_spread":0.2652606450451376,"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."}}