{"id":"W2040213413","doi":"10.1016/j.bpj.2011.11.827","title":"Microfluidic Analysis of Thermotaxis in Escherichia Coli","year":2012,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Polydimethylsiloxane; Temperature gradient; Biological system; Escherichia coli; Biophysics; Concentration gradient; Nanotechnology; Chemistry; Physics; Materials science; Biology; Chromatography; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318218,0.0002002293,0.000177716,0.00026329,0.0002157179,0.0004003144,0.0001979917,0.0002696603,0.0006766004],"category_scores_gemma":[0.0001886024,0.0001040035,0.0001564247,0.0002024151,0.0001652708,0.0001642522,0.0001464298,0.0003668605,0.0001634444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005304562,"about_ca_system_score_gemma":0.0003718559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065639,"about_ca_topic_score_gemma":0.001323581,"domain_scores_codex":[0.999886,0.00001092516,0.000007094361,0.0000224755,0.00004029807,0.00003310437],"domain_scores_gemma":[0.9999094,0.00003293265,0.0000191048,0.000005738621,0.00001830833,0.00001447231],"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":[0.00005765531,0.0000246534,0.0002580713,0.00001020962,0.000002549671,0.00001613246,0.00001017318,0.00008120844,0.9984583,0.0001284689,0.00002551093,0.0009272567],"study_design_scores_gemma":[0.000007430974,0.00007623299,0.002502595,0.000002245121,0.000004062885,0.00003393556,0.00002097203,0.002446184,0.9945171,0.00003358597,0.0003511885,0.000004378838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954462,0.0003741946,0.002916831,0.0001282551,0.00003556766,0.00002146227,0.0001591963,0.00003832041,0.0008798657],"genre_scores_gemma":[0.9953257,0.000365939,0.003007821,0.00005744417,0.00001373877,0.00002569572,0.0001390303,0.000008342449,0.001056228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065639,"threshold_uncertainty_score":0.003848732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331298224052099,"score_gpt":0.223209249099288,"score_spread":0.2098962668587671,"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."}}