{"id":"W3182219142","doi":"10.1021/acsfoodscitech.1c00101","title":"Immobilized Reporter Phage on Electrospun Polymer Fibers for Improved Capture and Detection of <i>Escherichia coli</i> O157:H7","year":2021,"lang":"en","type":"article","venue":"ACS Food Science & Technology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Alberta Agriculture and Forestry","keywords":"Escherichia coli; Bacteriophage; Microbiology; Bacteria; Tryptic soy broth; Biosensor; Pathogen; Foodborne pathogen; Chemistry; Chromatography; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001431419,0.0001234366,0.0001986121,0.0002223439,0.0001084283,0.00002659802,0.0001148498,0.000213319,0.000003021339],"category_scores_gemma":[0.0001119434,0.0001142733,0.00004749808,0.001229351,0.0003193839,0.00008983346,0.00003224612,0.0001876276,6.876083e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005001451,"about_ca_system_score_gemma":0.00003919532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004749141,"about_ca_topic_score_gemma":0.0000301361,"domain_scores_codex":[0.9990342,0.000005999043,0.0002129819,0.0003356057,0.00009934336,0.0003118397],"domain_scores_gemma":[0.9995054,0.00002312403,0.00005597802,0.000265873,0.0001019814,0.0000476547],"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":[0.00001401578,0.00001609331,0.000009067434,0.00001568112,0.00001525939,0.000001440341,0.00001644028,0.00001251277,0.9925163,0.0004851027,0.00001023036,0.006887812],"study_design_scores_gemma":[0.0002994633,0.0005189645,0.00006997884,0.000008924301,0.00002191826,0.00003061239,0.00008146806,0.00495066,0.9921365,0.0009714722,0.0007895354,0.0001204846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913151,0.0004872737,0.006917508,0.0004145093,0.000207898,0.0001903521,0.000007340257,0.000217842,0.0002421744],"genre_scores_gemma":[0.9991766,0.00003356289,0.0005359584,0.00009350199,0.00001699428,0.00002810245,0.000001051812,0.00001464298,0.00009956145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007861522,"threshold_uncertainty_score":0.465993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005623910886630109,"score_gpt":0.2088594518910109,"score_spread":0.2032355410043808,"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."}}