{"id":"W2075144993","doi":"10.1016/j.bpj.2012.11.2048","title":"Investigating DNA Replication in Escherichia Coli on the Single Cell Level Utilizing Microfluidics and Single-Molecule Fluorescence Microscopy","year":2013,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Fluorescence microscope; Microfluidics; DNA; DNA replication; Biophysics; Replication (statistics); Cell biology; Biology; Single-molecule experiment; Cell; Fluorescence-lifetime imaging microscopy; Single-cell analysis; Computational biology; Fluorescence; Nanotechnology; Microscopy; Biological system; Molecule; Chemistry; Genetics; Materials science; Physics","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":[0.0002019097,0.0002188617,0.0001608614,0.00004461979,0.0002080421,0.0001610612,0.0003141458,0.0001404481,0.000005448393],"category_scores_gemma":[0.0002380275,0.0001731389,0.0000620237,0.0001735917,0.0003216906,0.0000221399,0.0001480484,0.0003860814,0.00001060836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006197719,"about_ca_system_score_gemma":0.00005362921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000183993,"about_ca_topic_score_gemma":0.000001500453,"domain_scores_codex":[0.9986186,0.0001158235,0.0003235003,0.000434044,0.0001541542,0.0003538867],"domain_scores_gemma":[0.9991004,0.00004016637,0.0001988721,0.0004198403,0.0001105362,0.0001302107],"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":[0.00001465234,0.0001551933,0.0004169666,0.000009310272,0.000004820078,0.000001690341,0.00006366282,0.000001084807,0.9966547,0.00005853659,0.001086974,0.001532373],"study_design_scores_gemma":[0.0002062999,0.000366546,0.001809987,0.00009234066,0.000005285433,0.00001496305,0.0001183336,0.0001051318,0.9964231,0.0002190121,0.000437771,0.0002012335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944409,0.0001582696,0.004238094,0.0006458472,0.00005088879,0.000295465,0.000006219537,0.0000186147,0.0001457635],"genre_scores_gemma":[0.9672452,0.0001181723,0.03145935,0.0008932634,0.0001666183,0.00002719903,0.00001019141,0.00003497611,0.00004507141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02722126,"threshold_uncertainty_score":0.70604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843027895061861,"score_gpt":0.2764971021512315,"score_spread":0.2480668232006129,"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."}}