{"id":"W1597897754","doi":"10.1002/jemt.22441","title":"Electron backscatter diffraction applied to lithium sheets prepared by broad ion beam milling","year":2014,"lang":"en","type":"article","venue":"Microscopy Research and Technique","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Electron backscatter diffraction; Materials science; Ion milling machine; Scanning electron microscope; Focused ion beam; Polishing; Analytical Chemistry (journal); Diffraction; Ion beam; X-ray photoelectron spectroscopy; Lithium (medication); Metallurgy; Composite material; Ion; Microstructure; Optics; Chemical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002407407,0.0003197578,0.0003677568,0.0003654542,0.0005314251,0.0003880887,0.0005105612,0.0002898375,0.0002077032],"category_scores_gemma":[0.00009089508,0.0002985121,0.00004931878,0.0004920085,0.0002431962,0.0002194943,0.0002400994,0.0007325343,0.0001410132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026918,"about_ca_system_score_gemma":0.00007896066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002713552,"about_ca_topic_score_gemma":0.00003906026,"domain_scores_codex":[0.9965605,0.0002223323,0.0003766037,0.0009672192,0.0005623455,0.001311043],"domain_scores_gemma":[0.9986053,0.0001503235,0.00008481609,0.0006354096,0.0001913665,0.0003327917],"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":[0.000272077,0.0001307139,0.00008658919,0.00004816874,0.000004539971,8.232546e-7,0.00008861938,3.207785e-7,0.9581898,0.0003673162,0.03992732,0.0008836573],"study_design_scores_gemma":[0.0001988576,0.0016042,0.00008341153,0.00007208382,0.000004394712,0.00000922089,0.0000155727,0.000009700213,0.945066,0.002489128,0.05014325,0.0003041318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923108,0.000289547,0.06366652,0.001000986,0.00009041013,0.002460231,0.00002713835,0.0008867813,0.008470354],"genre_scores_gemma":[0.9795053,0.0002145362,0.01699532,0.0005136887,0.0001789713,0.001205665,0.00004777179,0.00007467654,0.001264066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05639727,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348663922344726,"score_gpt":0.3336737481208666,"score_spread":0.3201871088974193,"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."}}