{"id":"W2786623728","doi":"10.1016/j.str.2017.12.018","title":"MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps","year":2018,"lang":"en","type":"article","venue":"Structure","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":242,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fundación General CSIC","keywords":"Resolution (logic); SIGNAL (programming language); Amplitude; Algorithm; Computer science; Voxel; Field (mathematics); Artificial intelligence; Pattern recognition (psychology); Computer vision; Physics; Mathematics; Optics","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":[0.00003225349,0.00008473582,0.00008010883,0.00001981924,0.00007959295,0.000007687455,0.00006669909,0.0001002834,0.000003615509],"category_scores_gemma":[0.00001285887,0.00007868648,0.00002235696,0.00005147624,0.0001360897,0.00000396894,0.00002258548,0.00003887962,2.877187e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001225138,"about_ca_system_score_gemma":0.00002990033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004541056,"about_ca_topic_score_gemma":0.00001777395,"domain_scores_codex":[0.9995195,0.000008579753,0.0001212985,0.0001788849,0.00003097103,0.0001407941],"domain_scores_gemma":[0.9996691,0.000004656137,0.00008039258,0.0001598154,0.00006344647,0.00002252627],"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":[0.00004113058,0.000004602361,0.00001235792,0.00002620759,0.000007689505,1.212276e-8,0.00001623937,0.00008365038,0.9903598,0.0008201505,0.001306008,0.007322178],"study_design_scores_gemma":[0.0001778191,0.0003968003,0.0001731705,0.000009373823,0.00001163994,0.000005547998,0.00001252252,0.003781297,0.9822245,0.008154473,0.004972057,0.00008084763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.526778,0.0002150303,0.4726401,0.00004339073,0.00001361368,0.0002140764,0.00006596487,0.00001310048,0.00001668473],"genre_scores_gemma":[0.9202312,0.00003814584,0.07930548,0.0000518389,0.00006319422,0.00002581498,0.0002296087,0.00001166958,0.00004306904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3934532,"threshold_uncertainty_score":0.3208742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004213976171888116,"score_gpt":0.3267574425890604,"score_spread":0.3225434664171722,"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."}}