{"id":"W2771852644","doi":"10.1073/pnas.1720676115","title":"Biofilm Lithography enables high-resolution cell patterning via optogenetic adhesin expression","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Stanford Bio-X; Natural Sciences and Engineering Research Council of Canada; Government of Canada; American Cancer Society","keywords":"Biofilm; Bacterial adhesin; Synthetic biology; Cell biology; Nanotechnology; Escherichia coli; Microbiology; Biology; Biophysics; Chemistry; Gene; Bacteria; Materials science; Computational biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004881996,0.00009585386,0.00009660507,0.00009101394,0.0002255147,0.0000228639,0.0003690883,0.0001261718,0.00001029331],"category_scores_gemma":[0.00007213369,0.00006635542,0.00007026138,0.0002988883,0.0006627694,0.00002100874,0.0001666469,0.00006098121,0.000001151569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005890199,"about_ca_system_score_gemma":0.00001708715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047717,"about_ca_topic_score_gemma":8.322793e-8,"domain_scores_codex":[0.9989427,0.00001012972,0.0002240612,0.0002655654,0.0003928423,0.0001646696],"domain_scores_gemma":[0.999424,0.00001165712,0.0003072355,0.00001239098,0.0002134071,0.00003125572],"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":[0.00002619906,0.00002162278,0.003894287,0.00002127512,0.00000481521,1.634744e-9,0.00002598871,0.000007197447,0.9950156,0.0001661463,0.0003908726,0.0004259857],"study_design_scores_gemma":[0.0001219588,0.0001340946,0.02783392,0.00006014635,0.00000690915,0.000003147157,0.00003322983,0.00009546029,0.9703905,0.0005694527,0.0006677835,0.00008338243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984236,0.0002094307,0.00001101592,0.0002919813,0.00004642942,0.00008936004,0.00001142185,0.000004943035,0.0009117955],"genre_scores_gemma":[0.9942024,0.00004624733,0.005224843,0.0001601948,0.0003074103,0.000002399175,0.000001008739,0.000005164063,0.00005031267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02462509,"threshold_uncertainty_score":0.2705895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822256666786563,"score_gpt":0.2576733605744522,"score_spread":0.2394507939065866,"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."}}