{"id":"W1981142640","doi":"10.1017/s143192760808166x","title":"Characterization of CNTs-Al dispersions using FE-TEM and FE-SEM","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":"Microanalysis; Characterization (materials science); Materials science; Chemical engineering; Nanotechnology; Analytical Chemistry (journal); Chemistry; Chromatography; Engineering; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776092,0.000182777,0.0003781374,0.0001696457,0.0003468405,0.00005375558,0.0001241973,0.00008469586,0.0001158875],"category_scores_gemma":[0.00001143326,0.0001670277,0.00008087863,0.0002816856,0.0002814902,0.0002121836,0.00008464229,0.00009159675,0.000005397071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004053002,"about_ca_system_score_gemma":0.00004489541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018941,"about_ca_topic_score_gemma":0.00002985508,"domain_scores_codex":[0.9988538,0.00006263785,0.0003064222,0.0003728055,0.0001243252,0.0002800202],"domain_scores_gemma":[0.9994318,0.00001988936,0.0001730954,0.0002228785,0.0000679661,0.00008435303],"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":[0.00003062504,0.00005103394,0.004275513,0.00002094199,0.00002626183,0.000003292898,0.0003617899,2.850829e-7,0.9950041,0.00004744484,0.00009199814,0.00008669448],"study_design_scores_gemma":[0.0001807762,0.00006583241,0.002782241,0.00003339448,0.0001214761,0.00004379581,0.00005064605,0.0001482953,0.9953879,0.00002062422,0.0009911696,0.000173833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929758,0.0005727781,0.005992904,0.0001282505,0.00004376099,0.0001234681,0.00004761424,0.00005817305,0.00005720699],"genre_scores_gemma":[0.9900268,0.001292951,0.007951505,0.0002084443,0.00002599913,0.000004527719,0.00003424059,0.00001832458,0.000437248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002949085,"threshold_uncertainty_score":0.6811191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391050853422347,"score_gpt":0.2751133518382333,"score_spread":0.2612028433040098,"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."}}