{"id":"W4392190604","doi":"10.1038/s41596-024-00964-6","title":"High-throughput fabrication of antimicrobial phage microgels and example applications in food decontamination","year":2024,"lang":"en","type":"review","venue":"Nature Protocols","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brockhouse Institute for Materials Research; Population Health Research Institute; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Human decontamination; Antimicrobial; Throughput; Nanotechnology; Fabrication; Microbiology; Biology; Materials science; Medicine; Computer science; Engineering; Waste management","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":[0.0003161336,0.0003269491,0.001237241,0.0004556484,0.00004483384,0.00003793434,0.0001877763,0.0007228418,0.00002609535],"category_scores_gemma":[0.00006103333,0.0002349534,0.0002303392,0.0006797867,0.0001013559,0.00006606146,0.0001375108,0.001244273,0.00002588853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243279,"about_ca_system_score_gemma":0.000331688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008785746,"about_ca_topic_score_gemma":0.00003915969,"domain_scores_codex":[0.9981487,0.00009937766,0.000673081,0.0005440277,0.0002905102,0.0002442414],"domain_scores_gemma":[0.9989817,0.0001743512,0.0002461775,0.0003322329,0.0001821002,0.00008342657],"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":[0.00005844462,0.0003202257,0.00009136883,0.1118078,0.0002225097,0.00001802823,0.00008999786,4.015168e-8,0.0002923353,0.004991387,0.002036783,0.8800711],"study_design_scores_gemma":[0.0004584117,0.0001934958,0.0001457391,0.0135099,0.0002578266,0.00008505754,0.000004239051,0.000001952855,0.0009431706,0.0002583397,0.9839538,0.0001880111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001376452,0.8863816,0.00007302222,0.0001132256,0.00004070207,0.1126655,0.000324015,0.00003095139,0.0002333419],"genre_scores_gemma":[0.0003375268,0.8685799,0.001865558,0.00005824288,0.0003588292,0.1268616,0.001020972,0.00006533222,0.0008521052],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9819171,"threshold_uncertainty_score":0.9581121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784020626481792,"score_gpt":0.4287996148394706,"score_spread":0.3709594085746527,"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."}}