{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295068,0.00188709,0.000971865,0.001067798,0.0003322744,0.000713351,0.001515902,0.001306043,0.001224099],"category_scores_gemma":[0.0007573796,0.000868513,0.0006841284,0.0004953874,0.0003578699,0.0007054519,0.0007596199,0.001270626,0.001437845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004735089,"about_ca_system_score_gemma":0.0004189149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003564053,"about_ca_topic_score_gemma":0.0007439233,"domain_scores_codex":[0.9982271,0.0003687497,0.00009447156,0.0005716217,0.0006245044,0.0001136195],"domain_scores_gemma":[0.9995669,0.0001191722,0.00008491646,0.00004061511,0.0001375982,0.00005076865],"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":[0.00003974106,0.0000395967,0.00013021,0.00006673177,0.000014648,0.00003930437,0.00001737227,0.000115422,0.9953377,0.00008588352,0.0001306963,0.003982677],"study_design_scores_gemma":[0.000006967895,0.0001523644,0.000494193,0.000007311141,0.00002850866,0.0002076928,0.00001651118,0.003619041,0.9936571,0.00004842618,0.00174399,0.00001793176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2536334,0.004417747,0.7291489,0.0005302394,0.0004350275,0.0007286257,0.00133061,0.005111015,0.004664485],"genre_scores_gemma":[0.3873088,0.002996238,0.5979397,0.0004806044,0.0001348426,0.001762834,0.00211139,0.0001599231,0.007105694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00188709,"threshold_uncertainty_score":0.00684911,"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."}}