{"id":"W1891838847","doi":"10.1017/s1431927602021098","title":"Microscopy Society of America","year":2002,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microscopy; Microbeam; Nanotechnology; Library science; Materials science; Computer science; Optics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003565945,0.0001741295,0.0003394549,0.00008291184,0.0000573105,0.00003172793,0.0001082564,0.00008131132,0.0003351368],"category_scores_gemma":[0.000003999895,0.0001802381,0.0001196159,0.0002860618,0.000126526,0.0001310648,0.00003693924,0.00007264777,0.00001477968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001898843,"about_ca_system_score_gemma":0.000002151627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001274253,"about_ca_topic_score_gemma":4.688346e-7,"domain_scores_codex":[0.9992269,0.00001369166,0.0003130425,0.0001891553,0.00006003166,0.0001971589],"domain_scores_gemma":[0.9996002,0.00001689988,0.0000778322,0.0002265908,0.00002882407,0.00004967113],"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":[0.000002349232,0.00001840189,0.0001713053,0.00009499663,0.00008446558,3.484103e-7,0.0003197177,0.0000408847,0.9926906,0.000003310306,0.00304923,0.003524446],"study_design_scores_gemma":[0.0001234186,0.0000153877,0.00007528943,0.00002189527,0.00006342309,0.000003180224,0.0000463454,0.002206746,0.9779212,0.00002640386,0.01932386,0.0001727816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7231733,0.004427159,0.2704357,0.0001241458,0.0001487485,0.0002062881,0.0001988098,0.0006105206,0.0006753389],"genre_scores_gemma":[0.8418961,0.01036691,0.1468575,0.0002967139,0.00004562734,0.00001851748,0.00005134279,0.0000596617,0.0004075962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235782,"threshold_uncertainty_score":0.7349896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007810329285632449,"score_gpt":0.2346439354636034,"score_spread":0.2268336061779709,"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."}}