{"id":"W1979279428","doi":"10.4028/www.scientific.net/msf.519-521.203","title":"Effect of Trace Addition of Sn in Al-Cu Alloy","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Sydney; Australian Research Council; Ontario Ministry of Natural Resources and Forestry","keywords":"Atom probe; Nucleation; High-resolution transmission electron microscopy; Transmission electron microscopy; Materials science; Alloy; Precipitation; Cluster (spacecraft); Crystallography; Atom (system on chip); Analytical Chemistry (journal); Phase (matter); Electron tomography; Ageing; Scanning transmission electron microscopy; Metallurgy; Nanotechnology; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002141614,0.0005313904,0.0005119238,0.0003191823,0.0002174387,0.0006280135,0.0005813786,0.0005272414,0.001289451],"category_scores_gemma":[0.0007996914,0.0002847994,0.0001951727,0.0002966704,0.0003272943,0.0002936818,0.0003179004,0.0004272779,0.0002555423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532232,"about_ca_system_score_gemma":0.0003132435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004589363,"about_ca_topic_score_gemma":0.007095562,"domain_scores_codex":[0.9996725,0.00005823124,0.00003886153,0.00008123373,0.00009180405,0.00005743614],"domain_scores_gemma":[0.999331,0.0001849286,0.0001250364,0.00007092963,0.0001790575,0.0001090388],"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":[0.001193929,0.0001169272,0.0003171538,0.0001515719,0.00004468048,0.0001462405,0.00005120464,0.0006990843,0.9934349,0.0000476797,0.00006510272,0.00373158],"study_design_scores_gemma":[0.00000971703,0.0004616914,0.0004667137,0.000004112103,0.00002679595,0.0000256271,0.00001291016,0.0009146255,0.9976331,0.000005214993,0.0004359181,0.000003639385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979097,0.0006513346,0.0005207036,0.00003341042,0.00004260586,0.00001778627,0.00009215847,0.00009768384,0.0006345168],"genre_scores_gemma":[0.9971058,0.0003786469,0.000888561,0.00003435745,0.00001369189,0.000007013711,0.0001006844,0.00003356163,0.0014378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004589363,"threshold_uncertainty_score":0.009125292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002876684395808554,"score_gpt":0.2251562474085571,"score_spread":0.2222795630127485,"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."}}