{"id":"W2734302966","doi":"10.1021/acs.analchem.7b01942","title":"Selective and High Dynamic Range Assay Format for Multiplex Detection of Pathogenic <i>Pseudomonas aeruginosa</i>, <i>Salmonella typhimurium</i>, and <i>Legionella pneumophila</i> RNAs Using Surface Plasmon Resonance Imaging","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Legionella pneumophila; Surface plasmon resonance; Salmonella; Multiplex; Pseudomonas aeruginosa; Microbiology; Legionella; Nanotechnology; Bacteria; Nanoparticle","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000244915,0.0003050373,0.0004265561,0.0000358769,0.0003086243,0.0001046964,0.0001459199,0.0002245925,0.000001501922],"category_scores_gemma":[0.0001357609,0.0003119317,0.0001336369,0.0001075379,0.0002570627,0.0002289159,0.00007646845,0.0002996503,0.000001097191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009297684,"about_ca_system_score_gemma":0.00001371924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005648811,"about_ca_topic_score_gemma":0.00001653638,"domain_scores_codex":[0.9985915,0.00001622453,0.000389877,0.0004180094,0.0001860964,0.0003982479],"domain_scores_gemma":[0.999044,0.0001706575,0.0001435152,0.0003491932,0.0001218009,0.000170845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001130746,0.00002766232,0.001898575,0.0004429764,0.00005868864,0.000008541656,0.00003009355,0.001014995,0.9934806,0.00001610627,0.00002971183,0.002878997],"study_design_scores_gemma":[0.0007129193,0.00001966289,0.002846361,0.00006421268,0.000120476,0.00005190588,0.0000318006,0.6614899,0.3339928,0.0002727847,0.0001167536,0.0002804006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908231,0.001043355,0.007231269,0.00008947666,0.00009561014,0.000199931,0.0000727466,0.00009301143,0.000351462],"genre_scores_gemma":[0.9988,0.0003423706,0.0006174284,0.00002106825,0.00008190404,0.000006333855,0.000008138127,0.00005146084,0.00007126292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6604749,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008866148623521137,"score_gpt":0.2235258200393394,"score_spread":0.2146596714158183,"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."}}