{"id":"W3188391177","doi":"10.1017/s1431927621004001","title":"NanoMi Open Source (S)TEM Platform: Initial SEM Implementation","year":2021,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta; University of British Columbia; National Research Council Canada","funders":"","keywords":"Open source; Computer science; Action (physics); Materials science; Operating system; Physics; Software","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":[0.0001237386,0.0001806429,0.0002150843,0.00004406344,0.0002972221,0.0001653984,0.0002378126,0.0001130744,0.0001270745],"category_scores_gemma":[0.000007923194,0.0001927108,0.00009901806,0.0002178783,0.00006796028,0.00001661346,0.0003938373,0.00009170794,0.000008379337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297564,"about_ca_system_score_gemma":0.0001001807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024304,"about_ca_topic_score_gemma":0.000331099,"domain_scores_codex":[0.9988312,0.00003473601,0.0002695748,0.0005231368,0.0000551334,0.0002862449],"domain_scores_gemma":[0.9993311,0.000006976712,0.0001106071,0.0003752569,0.00009703993,0.00007900473],"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":[0.0000315985,0.00004064065,0.0007171941,0.00000779196,0.00009865479,0.000001627796,0.00004991312,0.000004753565,0.9806342,0.00007604925,0.002846519,0.01549113],"study_design_scores_gemma":[0.0003646975,0.00005353717,0.00009059408,0.000005126059,0.00007424026,0.00003178334,0.0002253761,0.000006373716,0.7524783,0.0001228192,0.2463704,0.0001767124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979222,0.00246385,0.09835661,0.0002907465,0.00002847928,0.000290497,0.0001092,0.00002799503,0.0005104671],"genre_scores_gemma":[0.9472607,0.002338593,0.04039743,0.001682851,0.0001493089,0.0001305271,0.002162192,0.00005758864,0.005820839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2435239,"threshold_uncertainty_score":0.7858517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126772083574778,"score_gpt":0.3667059145386717,"score_spread":0.3540287061811939,"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."}}