{"id":"W4318328609","doi":"10.3389/frfst.2022.842063","title":"Monitoring of Microbial Safety of Foods Using Lectins: A Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Food Science and Technology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Indian Council of Agricultural Research","keywords":"Biosensor; Listeria monocytogenes; Foodborne pathogen; Campylobacter; Food safety; Human pathogen; Salmonella; Pathogen; Lectin; Biology; Biotechnology; Computational biology; Microbiology; Bacteria; Biochemistry; Food science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004457493,0.0001559502,0.0009930794,0.001015387,0.00006293041,0.000004994863,0.0003291639,0.0001926162,0.000003727884],"category_scores_gemma":[0.0001476139,0.0001453464,0.00008598719,0.003565063,0.0004488716,0.00005768509,0.0001302582,0.0004063182,1.034889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001873469,"about_ca_system_score_gemma":0.0001150601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003119471,"about_ca_topic_score_gemma":7.645803e-7,"domain_scores_codex":[0.998853,0.00002028889,0.0004898473,0.0002454734,0.0001639755,0.0002274122],"domain_scores_gemma":[0.9995717,0.00001618385,0.0001328163,0.0002165942,0.0000380981,0.00002457341],"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":[6.487405e-7,0.000007685901,0.00002257485,0.01238289,0.00002718908,0.000001057835,0.000005491782,0.000004577331,0.0001608797,0.00004337105,0.00002703555,0.9873166],"study_design_scores_gemma":[0.000171064,0.0003285441,0.000003090425,0.03785454,0.000325254,0.00009213649,0.0001376661,0.0008038194,0.002238868,0.0003994392,0.9571981,0.0004474139],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002379963,0.9983501,0.000339229,0.000007897674,0.0006838978,0.0002373424,0.00001024301,0.00004231498,0.00009101349],"genre_scores_gemma":[0.0009236271,0.9962664,0.002767712,0.000001408341,0.00001457517,0.000009878914,4.89683e-7,0.00001360325,0.000002363318],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9868692,"threshold_uncertainty_score":0.5927055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503651797170448,"score_gpt":0.282811669169072,"score_spread":0.2477751511973675,"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."}}