{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527314,0.00125181,0.001121848,0.00326849,0.001940939,0.004061721,0.002185441,0.003090087,0.2970572],"category_scores_gemma":[0.002317478,0.0009099126,0.0007718657,0.002256269,0.0009791972,0.003429875,0.003489423,0.003699594,0.2439838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966652,"about_ca_system_score_gemma":0.00235059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982069,"about_ca_topic_score_gemma":0.003224759,"domain_scores_codex":[0.9974762,0.0001991045,0.000143636,0.0007730814,0.001168613,0.0002394117],"domain_scores_gemma":[0.9973413,0.0001660268,0.0001491308,0.0004949447,0.001586966,0.0002616072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000118187,0.00004854381,0.0006020417,0.0009572163,0.00004990682,0.0003674801,0.000165425,0.0002257229,0.04117185,0.02471549,0.6544845,0.2770939],"study_design_scores_gemma":[0.000008568327,0.00001402701,0.0002676905,0.00008210479,0.000007995459,0.0003696584,0.00003143557,0.00022945,0.003991981,0.001333426,0.9936501,0.00001352545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004230117,0.06761503,0.07655685,0.01483844,0.02561262,0.000617629,0.01109045,0.01797221,0.7814667],"genre_scores_gemma":[0.02867727,0.03534778,0.04737167,0.008287251,0.002646333,0.001001649,0.0198901,0.002720448,0.8540575],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2970572,"threshold_uncertainty_score":0.9937553,"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."}}