{"id":"W2082389102","doi":"10.1017/s1431927608081695","title":"Imaging in the SEM with X-Rays?","year":2008,"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":"Materials science","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":[0.0005894742,0.000452107,0.0004715536,0.0003512366,0.0003409463,0.001076272,0.000713283,0.0008290277,0.02085521],"category_scores_gemma":[0.0004800988,0.0003020634,0.0002573915,0.0003044629,0.0007211366,0.002292414,0.0004675207,0.00106319,0.00750175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956091,"about_ca_system_score_gemma":0.0002164454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005018485,"about_ca_topic_score_gemma":0.001013002,"domain_scores_codex":[0.9997553,0.00004570556,0.00001685167,0.00006424511,0.00008728431,0.00003067008],"domain_scores_gemma":[0.9998214,0.0000297638,0.00001301728,0.00006046654,0.00006313279,0.0000123008],"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":[0.0002939717,0.000105946,0.0009940922,0.0009809036,0.0000670884,0.000516979,0.0002277035,0.0004013409,0.7454641,0.05664207,0.051474,0.1428318],"study_design_scores_gemma":[0.00003580848,0.0001280075,0.002499939,0.0001549862,0.00004003114,0.001857381,0.0002330367,0.003168377,0.635875,0.01767007,0.3382931,0.00004417963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1266678,0.06481977,0.5451038,0.03531853,0.02176875,0.0002671227,0.001950894,0.007955294,0.1961481],"genre_scores_gemma":[0.3738464,0.03980921,0.2998031,0.007113214,0.001840984,0.0001865165,0.002071342,0.001240344,0.2740889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02085521,"threshold_uncertainty_score":0.06976765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007690042963072937,"score_gpt":0.2557263931107992,"score_spread":0.2480363501477263,"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."}}