{"id":"W2909324667","doi":"10.1107/s2052252519000277","title":"The cryo-EM revolution: fueling the next phase","year":2019,"lang":"en","type":"editorial","venue":"IUCrJ","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Phase (matter); Chemistry","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":[0.0002259848,0.0002180014,0.0001439716,0.00001171958,0.0004549912,0.0001000261,0.0006595896,0.0004642975,0.00001033309],"category_scores_gemma":[0.0001649416,0.0001348204,0.0001407623,0.00007970101,0.0001080723,0.000002934254,0.0001605909,0.0005180405,0.00004335961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004184478,"about_ca_system_score_gemma":0.0002309094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007812293,"about_ca_topic_score_gemma":0.00002638488,"domain_scores_codex":[0.9988228,0.00004264541,0.0002278114,0.0003943511,0.0001919663,0.0003204137],"domain_scores_gemma":[0.9985375,0.000102558,0.0001813259,0.0009732048,0.000169567,0.00003578355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003276334,0.0000179689,1.964003e-7,0.000008667639,0.00002267311,1.945703e-7,0.000008588453,0.000005247524,0.09343318,0.0001238425,0.9019697,0.004376985],"study_design_scores_gemma":[0.0002199198,0.0001489271,2.675557e-7,0.00001734181,0.00002716747,0.0000020788,0.00003297409,0.00001494499,0.02017489,0.0004481146,0.9787377,0.0001756611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002079279,0.0565127,0.0649342,0.002225451,0.8661969,0.002766395,0.0007127441,0.000213389,0.004358971],"genre_scores_gemma":[0.002842809,0.01713795,0.001276835,0.0002741189,0.9557746,0.0004008457,0.001639453,0.0001077544,0.02054562],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08957776,"threshold_uncertainty_score":0.5497817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871395620071586,"score_gpt":0.3496294289234604,"score_spread":0.3409154727227445,"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."}}