{"id":"W2214494545","doi":"10.1016/j.sbi.2015.07.002","title":"Validating maps from single particle electron cryomicroscopy","year":2015,"lang":"en","type":"review","venue":"Current Opinion in Structural Biology","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Medical Research Council; Canadian Institutes of Health Research; Wellcome Trust; Francis Crick Institute; Canada Research Chairs; Cancer Research UK","keywords":"Cryo-electron microscopy; Resolution (logic); Consistency (knowledge bases); Particle (ecology); Computer science; Tilt (camera); Single particle analysis; Data mining; Algorithm; Artificial intelligence; Physics; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004660307,0.001173163,0.002016409,0.003194339,0.0004009723,0.002450777,0.002930474,0.00223836,0.00294652],"category_scores_gemma":[0.005679891,0.0004969785,0.000697772,0.002722242,0.001777502,0.003553526,0.0021314,0.002265503,0.003736601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405481,"about_ca_system_score_gemma":0.001800935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885451,"about_ca_topic_score_gemma":0.001548069,"domain_scores_codex":[0.9985537,0.0002534181,0.00009825344,0.000230982,0.0007841478,0.00007962453],"domain_scores_gemma":[0.997338,0.001170189,0.0002551413,0.0001603046,0.0009852734,0.0000910485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004572362,0.0000254667,0.0003984643,0.0156098,0.0001104271,0.0002904244,0.0001409061,0.001227297,0.005265205,0.02687469,0.02656784,0.9234438],"study_design_scores_gemma":[0.000009743255,0.00004308661,0.0008123108,0.004034425,0.00007947902,0.0008496253,0.0001270539,0.0005803647,0.005929675,0.01485649,0.972617,0.00006067061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005374685,0.9873815,0.005972937,0.0009830184,0.0007340023,0.00002184177,0.0001388,0.00009702663,0.004133253],"genre_scores_gemma":[0.00338682,0.9887981,0.005329156,0.0004013241,0.0002813658,0.000032307,0.0003723923,0.00004855599,0.00134995],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004660307,"threshold_uncertainty_score":0.02464634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07244113929956923,"score_gpt":0.457999300301175,"score_spread":0.3855581610016057,"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."}}