{"id":"W2602581808","doi":"10.1017/s1431927617000150","title":"Interface Segregation and Nitrogen Measurement in Fe–Mn–N Steel by Atom Probe Tomography","year":2017,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Atom probe; Materials science; Interface (matter); Nitrogen; Atom (system on chip); Analytical Chemistry (journal); Metallurgy; Composite material; Chemistry; Environmental chemistry; Computer science; Embedded system; Microstructure","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":[0.0001818589,0.0002900685,0.0001808309,0.0003742496,0.0003188475,0.0002318037,0.00036039,0.0004358351,0.0007650611],"category_scores_gemma":[0.0003771409,0.0001773843,0.0001082398,0.0002571562,0.0003031332,0.0003764248,0.0002652821,0.0002212866,0.0001378574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533959,"about_ca_system_score_gemma":0.0002831446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003702849,"about_ca_topic_score_gemma":0.005774862,"domain_scores_codex":[0.9998103,0.00001950655,0.000008135009,0.00005713329,0.00008622025,0.00001880502],"domain_scores_gemma":[0.9998462,0.00002837196,0.00004298152,0.00001039161,0.00006121772,0.00001075978],"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":[0.00007300553,0.00000629639,0.001268541,0.00001723155,0.000002496656,0.00003407622,0.00003541562,0.0003041192,0.9967594,0.00008798138,0.00003621229,0.001375291],"study_design_scores_gemma":[0.000008744513,0.000115797,0.01435879,0.000005714706,0.00001052587,0.0001398154,0.00008946409,0.01574318,0.9684435,0.00008830635,0.0009848176,0.00001134829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826955,0.0002116257,0.01527081,0.00004939022,0.00001097606,0.00002061547,0.0001807298,0.000121118,0.001439302],"genre_scores_gemma":[0.9819133,0.0001350818,0.01672608,0.00002760708,0.000004057484,0.00002220977,0.0001430906,0.00002195441,0.001006674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003702849,"threshold_uncertainty_score":0.007362604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009920136257039434,"score_gpt":0.2445781827876212,"score_spread":0.2346580465305817,"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."}}