{"id":"W2945754652","doi":"10.1039/c9ra01466g","title":"Early detection of bacteria using SPR imaging and event counting: experiments with<i>Listeria monocytogenes</i>and<i>Listeria innocua</i>","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique; Institut National des Sciences Appliquées de Lyon; Association Nationale de la Recherche et de la Technologie; Université de Sherbrooke; LABoratoires d’EXcellence ARCANE; Université Grenoble Alpes; Agence Nationale de la Recherche; Université de Lyon; Indian National Science Academy","keywords":"Listeria; Listeria monocytogenes; Bacteria; Microbiology; Microorganism; Biology; Chemistry","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":[0.00005852009,0.0001585737,0.000210515,0.00006129333,0.00004686623,0.00005685072,0.00004047453,0.00004220368,0.00001302405],"category_scores_gemma":[0.000002966435,0.000142728,0.00002319898,0.0001107477,0.00004981124,0.0003999743,0.00003054154,0.00006460033,0.000002863879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003339281,"about_ca_system_score_gemma":0.000004058455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004140308,"about_ca_topic_score_gemma":0.00001374242,"domain_scores_codex":[0.9992846,0.00001421986,0.0002167505,0.0002042864,0.0001056047,0.0001745079],"domain_scores_gemma":[0.9997113,0.00001416602,0.00007252148,0.0001190317,0.0000345805,0.00004843448],"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":[0.00005420344,0.000007172084,0.006359806,0.0001523739,0.00001841264,0.000001363756,0.0001018174,0.0003699552,0.9854055,0.00001102241,4.185997e-7,0.007517932],"study_design_scores_gemma":[0.0009098597,0.0001597259,0.02811531,0.0002587794,0.00004952689,0.00005324223,0.0002628443,0.04866377,0.9165327,0.00009662642,0.004459144,0.0004384748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943845,0.001445474,0.003498673,0.000005341173,0.000313438,0.000129058,0.000005736688,0.0000611104,0.0001566462],"genre_scores_gemma":[0.9985834,0.0001278522,0.001162927,0.00001493541,0.00005416271,0.000004168857,0.00000137889,0.00002746393,0.00002370352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06887282,"threshold_uncertainty_score":0.5820277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017297049985382,"score_gpt":0.2358577560503619,"score_spread":0.2256847855505081,"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."}}