{"id":"W4402576823","doi":"10.3390/molecules29184415","title":"Electrospun Nanofiber-Based Biosensors for Foodborne Bacteria Detection","year":2024,"lang":"en","type":"review","venue":"Molecules","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Listeria monocytogenes; Nanofiber; Pseudomonas putida; Electrospinning; Bacteria; Escherichia coli; Salmonella; Nanotechnology; Chemistry; Biology; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008098598,0.0004904693,0.0008344288,0.0002791329,0.00005952325,0.0001262202,0.0001235071,0.0004720439,0.00001630263],"category_scores_gemma":[0.00002178735,0.0004014673,0.0007565151,0.0004217615,0.00002794136,0.00002848696,0.00001412731,0.000303873,0.0001869073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650012,"about_ca_system_score_gemma":0.00003394173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002058201,"about_ca_topic_score_gemma":0.00001378677,"domain_scores_codex":[0.9986503,0.00003363606,0.000418384,0.0003975376,0.0001156867,0.0003844342],"domain_scores_gemma":[0.9995173,0.00005874009,0.00005302049,0.0002504385,0.00003310186,0.00008735505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000460626,0.00001265858,5.367485e-9,0.02032469,0.0002454882,0.000008157318,0.000002306881,0.00003537228,0.00418947,0.00008972747,0.0007223769,0.9743651],"study_design_scores_gemma":[0.00008199499,0.0001175481,2.124518e-7,0.002329134,0.001103581,0.00001343841,8.224323e-7,0.008421364,0.01052559,0.0001075873,0.9768356,0.000463133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001974534,0.9772635,0.0201422,0.00001215275,0.0009117852,0.0005703484,0.0001903219,0.0006944994,0.0001954339],"genre_scores_gemma":[0.0003696743,0.9970773,0.001286047,0.00001602158,0.0003773214,0.0002254672,0.0001238581,0.0002339082,0.0002903985],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9761132,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226381568379916,"score_gpt":0.2732638450406357,"score_spread":0.2510000293568365,"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."}}