{"id":"W2558067650","doi":"10.1107/s1600576716018562","title":"Use of small-angle X-ray scattering to resolve intracellular structure changes of <i>Escherichia coli</i> cells induced by antibiotic treatment","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Crystallography","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Institute of Infection and Immunity; Division of Chemistry; Office of Science; Division of Materials Research; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; National Science Foundation","keywords":"Small-angle X-ray scattering; Ribosome; Escherichia coli; Intracellular; Scattering; Chloramphenicol; Biophysics; Tetracycline; Small-angle scattering; Chemistry; Crystallography; Materials science; Antibiotics; Biology; RNA; Biochemistry; Optics; Physics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002444255,0.0004180207,0.000371698,0.000172053,0.0001780734,0.000450421,0.0001987176,0.0002684411,0.0003193378],"category_scores_gemma":[0.0002103168,0.0001756993,0.0002125823,0.0002479361,0.0002975029,0.0001988581,0.0001857317,0.0005296877,0.0001775808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981549,"about_ca_system_score_gemma":0.0001879958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006063718,"about_ca_topic_score_gemma":0.0007451384,"domain_scores_codex":[0.9998684,0.0000320183,0.00001236519,0.00002974647,0.00003322071,0.00002415925],"domain_scores_gemma":[0.9998298,0.00005219002,0.00003193286,0.00002865729,0.00003545297,0.00002200804],"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":[0.00002514695,0.000009021049,0.0001630059,0.00001656836,0.000002205717,0.00001622372,0.0000147416,0.0001116739,0.9988732,0.00003400582,0.000008388686,0.0007257723],"study_design_scores_gemma":[0.000002472632,0.00006559369,0.001900422,0.000004369954,0.000005924118,0.00004876815,0.00003423286,0.002590569,0.9947793,0.00004151043,0.000521582,0.000005105239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716816,0.0007573942,0.02571202,0.0001288956,0.00002593745,0.00003273146,0.0002742193,0.0001269621,0.001260291],"genre_scores_gemma":[0.9766405,0.001009803,0.0211817,0.00004704491,0.000004907955,0.00002828185,0.0003940897,0.00005486706,0.0006388681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006063718,"threshold_uncertainty_score":0.001437724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636975601067191,"score_gpt":0.207005384776331,"score_spread":0.1906356287656591,"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."}}