{"id":"W2885250846","doi":"10.1017/s143192761800908x","title":"Automation of Image Processing for Nano-beam Diffraction Measurements","year":2018,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Institute for Nanotechnology","funders":"","keywords":"Automation; Nano-; Beam (structure); Diffraction; Materials science; Action (physics); Computer science; Optics; Nanotechnology; Engineering; Mechanical engineering; Physics; Composite material","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":[0.0001366052,0.0001158288,0.0001448454,0.00006006278,0.0001877539,0.0000247423,0.00008537653,0.00008382468,0.000009608748],"category_scores_gemma":[0.00001926983,0.0001145154,0.00007541757,0.0001371702,0.0001379306,0.00001103118,0.00003145833,0.00003011492,0.000001777309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163233,"about_ca_system_score_gemma":0.00002770529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001085289,"about_ca_topic_score_gemma":0.00001694292,"domain_scores_codex":[0.9992694,0.00001193674,0.0002156005,0.0002857565,0.0000517986,0.0001655482],"domain_scores_gemma":[0.9993624,0.000003893732,0.0001694721,0.0001860047,0.000246815,0.00003140356],"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":[0.00005562747,0.00004459005,0.0002979439,0.00003358837,0.00004106643,1.094785e-8,0.00002763107,0.000001042844,0.9925262,0.000006522253,0.0009019599,0.006063811],"study_design_scores_gemma":[0.0002373899,0.0001658681,0.0002584695,0.00001544092,0.00009659937,0.000002654098,0.00002842744,0.00007648488,0.9870916,0.0001031335,0.01180754,0.0001163943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5191157,0.0005511604,0.4799302,0.00004619838,0.00001435855,0.0002108145,0.00002605091,0.0000152844,0.00009016755],"genre_scores_gemma":[0.9109761,0.0001654719,0.08800244,0.0000922431,0.00008625112,0.00006178017,0.0001562748,0.0000176239,0.0004418403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3919277,"threshold_uncertainty_score":0.4669802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115027051115961,"score_gpt":0.3331538010124498,"score_spread":0.3220035305012902,"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."}}