{"id":"W2745135154","doi":"10.1017/s1431927617005414","title":"Temperature Measurement in a TEM using Electron Diffraction of Amorphous Films","year":2017,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Heat Transfer and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Institute for Nanotechnology","funders":"","keywords":"Amorphous solid; Materials science; Electron diffraction; Diffraction; Selected area diffraction; Analytical Chemistry (journal); Chemical engineering; Crystallography; Transmission electron microscopy; Nanotechnology; Optics; Chemistry; Chromatography; Physics; Engineering","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":[0.0003622485,0.0003212451,0.0003325146,0.0004762357,0.0004391115,0.000506008,0.0004622644,0.0003875903,0.0007073737],"category_scores_gemma":[0.0004240706,0.0004050713,0.00015735,0.0004466377,0.0003144188,0.0006409868,0.0002629473,0.0008122068,0.0002297175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204916,"about_ca_system_score_gemma":0.0001924333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005390378,"about_ca_topic_score_gemma":0.0008096213,"domain_scores_codex":[0.9996339,0.00003848194,0.00003269002,0.0001069574,0.0001665525,0.00002134602],"domain_scores_gemma":[0.9996958,0.00006409007,0.00004217319,0.00003963226,0.0001356499,0.00002269417],"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":[0.00002955515,0.000008067348,0.0002819523,0.00003961806,0.000005480653,0.00004038308,0.00004579579,0.00009758286,0.9943989,0.0005538316,0.0002291461,0.004269742],"study_design_scores_gemma":[0.000005493509,0.00004052122,0.002175036,0.000009111064,0.00001523353,0.0001560674,0.00004270895,0.005063115,0.9894257,0.0001441147,0.002912617,0.00001021482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6489349,0.004685416,0.3345088,0.0004307161,0.0003863325,0.00007685975,0.0007108111,0.001234775,0.009031457],"genre_scores_gemma":[0.8461763,0.002852131,0.1442415,0.00007795176,0.00005081472,0.00004934327,0.0005712239,0.0002258037,0.005755071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007073737,"threshold_uncertainty_score":0.002366424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243287401864563,"score_gpt":0.2927545891395777,"score_spread":0.2703217151209321,"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."}}