{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003579094,0.001108352,0.00108441,0.002295763,0.0002325027,0.0006534938,0.0007276641,0.001014864,0.002162558],"category_scores_gemma":[0.0003425423,0.0003922558,0.0006202816,0.001844014,0.0002479337,0.001121157,0.0004260797,0.001009336,0.001355379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003519063,"about_ca_system_score_gemma":0.0004466627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004661839,"about_ca_topic_score_gemma":0.0009799504,"domain_scores_codex":[0.9997894,0.00001729356,0.00001478528,0.00004245398,0.0001175148,0.0000185187],"domain_scores_gemma":[0.9998749,0.00004501857,0.00002717043,0.000004303572,0.00003710543,0.0000114518],"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":[0.00005487445,0.0002104287,0.0002566777,0.03879961,0.0001635417,0.0004960827,0.00009426779,0.0008387835,0.09617458,0.004644936,0.0125374,0.8457288],"study_design_scores_gemma":[0.00001944984,0.0003590281,0.001711687,0.003625779,0.0002022903,0.001901116,0.00009198858,0.0006416692,0.03762938,0.001675773,0.9520833,0.00005871288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001410732,0.9938616,0.001340802,0.0001489418,0.0002312869,0.00002272073,0.00005078791,0.00003246393,0.002900637],"genre_scores_gemma":[0.00493431,0.9904681,0.001560001,0.0001589367,0.00008402081,0.00002798572,0.00007189217,0.000004332247,0.002690443],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002295763,"threshold_uncertainty_score":0.007234454,"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."}}