{"id":"W2773135795","doi":"10.1016/j.scriptamat.2017.11.014","title":"Atomic worlds: Current state and future of atom probe tomography in geoscience","year":2018,"lang":"en","type":"article","venue":"Scripta Materialia","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Research Council; Curtin University of Technology; NASA Astrobiology Institute; National Aeronautics and Space Administration; U.S. Department of Energy; Science and Industry Endowment Fund; National Science Foundation","keywords":"Atom probe; Nanoscopic scale; Nanotechnology; Trace element; TRACE (psycholinguistics); Variety (cybernetics); Geochronology; Engineering physics; Earth science; Materials science; Astrobiology; Physics; Computer science; Geology; Geochemistry; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001956865,0.0003569749,0.0006142925,0.0007969091,0.0005356136,0.00280943,0.001075883,0.00120593,0.007885565],"category_scores_gemma":[0.002416807,0.0002647339,0.0002159348,0.001295394,0.002442057,0.007273588,0.002236946,0.001412362,0.001105222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009119596,"about_ca_system_score_gemma":0.00149967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185814,"about_ca_topic_score_gemma":0.002355723,"domain_scores_codex":[0.9996712,0.00009687379,0.00001418465,0.0000595054,0.0001111349,0.00004699962],"domain_scores_gemma":[0.9984356,0.0009039406,0.00007278368,0.0002127989,0.0002542419,0.000120644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004414991,0.00008092815,0.003717996,0.001508578,0.00007413323,0.0001560325,0.0005327713,0.006987466,0.03089671,0.3502792,0.01725389,0.5880708],"study_design_scores_gemma":[0.00004969685,0.00016325,0.003494006,0.0009464117,0.00009013692,0.0006086253,0.001302262,0.06829041,0.022376,0.4514162,0.451138,0.0001249334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05973399,0.3795718,0.4289251,0.04784129,0.001989271,0.000122649,0.001728091,0.002224208,0.07786353],"genre_scores_gemma":[0.5364087,0.1882286,0.2565216,0.003249696,0.001592887,0.0002183386,0.0008648085,0.0003993638,0.01251621],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007885565,"threshold_uncertainty_score":0.02637988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007849477148847876,"score_gpt":0.2343204962432414,"score_spread":0.2264710190943935,"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."}}