{"id":"W2537048881","doi":"10.1017/s1431927613008660","title":"Advances in Low Voltage Electron Microscopy from Imaging to Analytical Perspective","year":2013,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Perspective (graphical); Microscopy; Electron microscope; Microanalysis; Materials science; Nanotechnology; Analytical Chemistry (journal); Optics; Chemistry; Physics; Computer science; Artificial intelligence; Environmental chemistry","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":[0.00151454,0.0004544378,0.0004093151,0.0009102642,0.0003781819,0.002180871,0.0008839677,0.0008089981,0.004892059],"category_scores_gemma":[0.001693225,0.0003272147,0.0002316009,0.0007703773,0.001172171,0.003362863,0.0008780621,0.002495531,0.001474055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007872229,"about_ca_system_score_gemma":0.0005299021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938553,"about_ca_topic_score_gemma":0.0008844736,"domain_scores_codex":[0.9995502,0.0001025559,0.00003171434,0.00006926553,0.000220298,0.00002595259],"domain_scores_gemma":[0.9984481,0.0006756813,0.00007021007,0.0001638155,0.0005822621,0.00005979868],"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":[0.0001922399,0.00009185619,0.0009084948,0.002701852,0.00005176523,0.0003360479,0.0004057735,0.002033885,0.3098288,0.1589548,0.01933241,0.5051622],"study_design_scores_gemma":[0.0000173474,0.0002116957,0.001383112,0.0005951155,0.00005503457,0.001533236,0.0003189052,0.01009925,0.3256257,0.06539241,0.5946969,0.00007126921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02242108,0.4084753,0.4839068,0.0198196,0.0042639,0.00007902042,0.0003502264,0.001412507,0.05927166],"genre_scores_gemma":[0.2583894,0.4078825,0.2903531,0.004019615,0.00339573,0.00008905981,0.0004581563,0.0004801634,0.03493223],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004892059,"threshold_uncertainty_score":0.01636553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004084105467297639,"score_gpt":0.2902281692693816,"score_spread":0.2861440638020839,"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."}}