{"id":"W1975068790","doi":"10.4028/www.scientific.net/msf.519-521.197","title":"Vacancy-Solute Interactions in Al-Cu-Mg","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Sydney; Australian Research Council; Ontario Ministry of Natural Resources and Forestry","keywords":"Materials science; Positron annihilation spectroscopy; Alloy; Doppler broadening; Atom probe; Hardening (computing); Vacancy defect; Ternary operation; Spectroscopy; Ageing; Vickers hardness test; Positron annihilation; Analytical Chemistry (journal); Positron; Metallurgy; Crystallography; Nuclear chemistry; Microstructure; Composite material; Spectral line; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001142257,0.00008046019,0.00008644259,0.0001689615,0.000152979,0.0001548673,0.0001724334,0.00001422884,0.0009270444],"category_scores_gemma":[0.000004004326,0.00007742811,0.00001945176,0.0003539821,0.00006490364,0.0003412616,0.00003004657,0.00005680625,0.0002503669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008352938,"about_ca_system_score_gemma":0.00001831806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000565268,"about_ca_topic_score_gemma":0.000514657,"domain_scores_codex":[0.9992543,0.000005824751,0.0002098805,0.0001433797,0.00009435549,0.0002922244],"domain_scores_gemma":[0.9997332,0.00001107968,0.0000212777,0.0001732976,0.00002239245,0.00003873775],"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":[0.000001670866,0.00002236096,0.000229174,0.000004143982,9.919208e-7,6.46842e-7,0.00002196267,0.001048894,0.9717425,0.00829844,0.01826067,0.0003685165],"study_design_scores_gemma":[0.000215016,0.00001450957,0.01781606,0.00004479421,0.00000429666,0.0000253575,0.0001410776,0.01127425,0.5881497,0.0021813,0.3798361,0.0002975269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612744,0.00002401693,0.002175605,0.001010787,0.001647757,0.0001283489,0.00004192716,0.0001563875,0.0335407],"genre_scores_gemma":[0.9985086,0.000008919033,0.00055894,0.0001100349,0.00006842138,0.00007116234,0.000009414221,0.000009119,0.0006554035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3835928,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007934730897093577,"score_gpt":0.2599944713097037,"score_spread":0.2520597404126101,"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."}}