{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003297528,0.001034238,0.0008220644,0.0009692397,0.0006941149,0.001555891,0.003356121,0.001342613,0.07680529],"category_scores_gemma":[0.006264972,0.001075195,0.0008858906,0.0005500202,0.000338736,0.002048939,0.002080695,0.002118583,0.05461458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664365,"about_ca_system_score_gemma":0.00111597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200847,"about_ca_topic_score_gemma":0.003292616,"domain_scores_codex":[0.9990755,0.00009295795,0.00006926725,0.0001883664,0.0004627579,0.0001111113],"domain_scores_gemma":[0.9958967,0.0006511462,0.0001413757,0.000945633,0.002026312,0.0003388734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002041209,0.000683071,0.005005315,0.001526066,0.000267918,0.0006723902,0.0007678897,0.004013634,0.242373,0.008696798,0.446201,0.2877516],"study_design_scores_gemma":[0.0004731717,0.0004680801,0.009470381,0.0003055269,0.0001610339,0.001222571,0.0003200045,0.09190898,0.3041278,0.004973961,0.5862474,0.0003209504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01987511,0.0004434525,0.5288559,0.001043352,0.0007608131,0.001333723,0.02110398,0.4007401,0.02584363],"genre_scores_gemma":[0.06976771,0.0008170906,0.7035576,0.0009610622,0.0001489891,0.002498919,0.04520779,0.132933,0.04410795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9966439,"threshold_uncertainty_score":0.2569393,"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."}}