{"id":"W4382011403","doi":"10.1002/adma.202302641","title":"Advancing In Situ Food Monitoring through a Smart Lab‐in‐a‐Package System Demonstrated by the Detection of <i>Salmonella</i> in Whole Chicken","year":2023,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Salmonella; Contamination; Nanotechnology; Complex matrix; Microfluidics; Food processing; Materials science; Process engineering; Computer science; Food science; Biology; Engineering; Chemistry; Chromatography; Bacteria","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":[0.0002241643,0.0004171933,0.0002266999,0.0001628235,0.0001321701,0.0003607573,0.0003866526,0.0005966941,0.0009914043],"category_scores_gemma":[0.00017192,0.0002585413,0.0002025197,0.00007703966,0.0003211746,0.0003885895,0.0003756278,0.0002583284,0.0005245561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186041,"about_ca_system_score_gemma":0.0002130849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004337567,"about_ca_topic_score_gemma":0.0007245094,"domain_scores_codex":[0.9998277,0.00002597785,0.00000767062,0.00006952875,0.00004786477,0.00002119122],"domain_scores_gemma":[0.9998901,0.00002096419,0.00003576769,0.00001851163,0.00002086088,0.00001379958],"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":[0.00002572771,0.00001119936,0.0001640943,0.0000174603,0.000002527335,0.0000236827,0.0000161738,0.0001054157,0.9981182,0.000041642,0.00004905106,0.00142501],"study_design_scores_gemma":[0.00001142331,0.0004854034,0.002431331,0.000005157384,0.00001593426,0.0001593286,0.00003383723,0.007077574,0.9881407,0.00003191757,0.001593189,0.00001414773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370225,0.0002445228,0.06014507,0.00013123,0.00006203578,0.00008911123,0.0001826894,0.0007601409,0.001362604],"genre_scores_gemma":[0.9319693,0.0001897509,0.06504574,0.0001421342,0.0000174338,0.00009975082,0.0001193638,0.00003829921,0.002378173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009914043,"threshold_uncertainty_score":0.003316581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007820921916484331,"score_gpt":0.2169206719336478,"score_spread":0.2090997500171634,"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."}}