{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009066836,0.0009938944,0.0008807531,0.0003340291,0.0003882811,0.0006004233,0.001216413,0.001124738,0.0009894331],"category_scores_gemma":[0.000963293,0.0004416674,0.0005178854,0.0004354701,0.0005047065,0.0006830784,0.0007245892,0.001623355,0.0006000958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004312607,"about_ca_system_score_gemma":0.0005357969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309794,"about_ca_topic_score_gemma":0.001372248,"domain_scores_codex":[0.9989421,0.0001892052,0.00007009811,0.0002451336,0.0004001411,0.0001533616],"domain_scores_gemma":[0.9994183,0.0002336206,0.00009318977,0.00007788494,0.0001055906,0.00007150602],"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":[0.0001887637,0.00008465545,0.0001765738,0.00006972014,0.000007716297,0.0000282392,0.00003284417,0.0001346283,0.9960033,0.0001512481,0.0001093906,0.003012835],"study_design_scores_gemma":[0.00001161668,0.0002248103,0.0004116285,0.00000409014,0.000008053268,0.00007388294,0.00001558285,0.002922504,0.9955482,0.00008928598,0.0006740881,0.00001611232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6927013,0.003263219,0.2941665,0.0007132413,0.0005084231,0.00055931,0.0009376699,0.001717703,0.005432497],"genre_scores_gemma":[0.7023646,0.002777615,0.2875246,0.0004180479,0.00008552329,0.0005492134,0.001177537,0.0001973069,0.004905624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309794,"threshold_uncertainty_score":0.004795074,"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."}}