{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002277382,0.000434881,0.0001714692,0.0002518354,0.0001015135,0.0002746007,0.0003224331,0.0004501619,0.0004173589],"category_scores_gemma":[0.0002549743,0.0002126833,0.0002037325,0.0001437422,0.0001579457,0.0003314906,0.0002399258,0.00028987,0.0002485533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606293,"about_ca_system_score_gemma":0.0001134796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003107151,"about_ca_topic_score_gemma":0.0005401604,"domain_scores_codex":[0.9998078,0.00002345317,0.000009935016,0.00005366119,0.00007987171,0.00002543846],"domain_scores_gemma":[0.9998018,0.00004912462,0.00006368917,0.00001325446,0.00004390119,0.00002834138],"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":[0.00001043414,0.000007291686,0.00003996961,0.00001086785,0.000001185874,0.00001707821,0.00000437269,0.00004541689,0.9990066,0.00001353967,0.000007560925,0.0008356469],"study_design_scores_gemma":[0.000005492019,0.000112236,0.001200498,0.000004604895,0.000004792381,0.0000783525,0.00001052877,0.001974515,0.996043,0.00001240968,0.0005479328,0.000005699066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688756,0.001038946,0.02818955,0.00008181547,0.0000547553,0.00005882515,0.000119623,0.000327002,0.001254002],"genre_scores_gemma":[0.9609758,0.001006599,0.03530298,0.00007668847,0.00003206906,0.00006613999,0.0001792793,0.00005163952,0.00230875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004501619,"threshold_uncertainty_score":0.001396179,"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."}}