{"id":"W1980097749","doi":"10.1017/s1431927607078014","title":"Probing Elemental Partitioning between Alpha and Beta Phases in Titanium Alloys Using 3D Atom Probe Tomography","year":2007,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"","keywords":"Atom probe; Alpha (finance); Materials science; BETA (programming language); Titanium; Atom (system on chip); Titanium alloy; Tomography; Radiochemistry; Crystallography; Metallurgy; Chemistry; Physics; Optics; Microstructure; Mathematics; Alloy; Computer science","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":[0.0001605826,0.0001854219,0.0001573876,0.0004080289,0.0003093067,0.0006688219,0.0003777902,0.0004778441,0.001354177],"category_scores_gemma":[0.0004180707,0.0002867657,0.0001357959,0.0002777133,0.0004270831,0.0006516814,0.0003142258,0.0003951939,0.0002186932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005664253,"about_ca_system_score_gemma":0.0002866228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002836232,"about_ca_topic_score_gemma":0.004245782,"domain_scores_codex":[0.9999083,0.000008751344,0.000002878822,0.00002289615,0.00004193264,0.00001523722],"domain_scores_gemma":[0.9998752,0.00005482684,0.00002209367,0.000009991158,0.00003190798,0.000005994628],"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":[0.0003935113,0.00002338518,0.003511895,0.00005263411,0.00001313732,0.0001061229,0.0001732957,0.003546258,0.9812889,0.001038744,0.000367139,0.009484953],"study_design_scores_gemma":[0.00004107151,0.0001113707,0.02339096,0.00001562784,0.0000408844,0.0005516405,0.0004388777,0.08192716,0.8882725,0.001602549,0.003569049,0.00003835968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755058,0.0004642562,0.01928359,0.0002351945,0.00002226124,0.00001427633,0.0003693547,0.0001654527,0.003939919],"genre_scores_gemma":[0.9897425,0.0001870593,0.008553841,0.00006068763,0.000005146935,0.00001157627,0.0001545383,0.00003732405,0.001247311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002836232,"threshold_uncertainty_score":0.005639434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141147026969807,"score_gpt":0.267421196942698,"score_spread":0.2560097266729999,"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."}}