{"id":"W4389319322","doi":"10.1109/jsen.2023.3336806","title":"Real-Time Ultralow Bacterial Detection With A Gap-Method Microcantilever Biosensor","year":2023,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Cystic Fibrosis Canada","keywords":"Biosensor; Bacteria; Pseudomonas aeruginosa; Detection limit; Sensitivity (control systems); Dielectrophoresis; Pseudomonas; Nanotechnology; Chemistry; Materials science; Chromatography; Biology; Engineering; Electronic engineering; Microfluidics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003193938,0.0002095327,0.0002728782,0.0001244168,0.000235676,0.000133608,0.0001346215,0.00007571001,0.001375002],"category_scores_gemma":[0.00001909907,0.0001498186,0.0001755293,0.0003688227,0.00004149485,0.0001136469,0.0000113011,0.0003948603,0.0009009533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002926307,"about_ca_system_score_gemma":0.00005828945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004459549,"about_ca_topic_score_gemma":0.000001414542,"domain_scores_codex":[0.9984818,0.0001487391,0.0003034484,0.0002590051,0.0003020495,0.0005049477],"domain_scores_gemma":[0.999092,0.0001838099,0.0001371821,0.0001516102,0.000106377,0.0003290006],"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":[0.0002110286,0.00003622108,0.0001324822,0.000004464862,0.00009023341,0.00005350218,0.00005536665,0.0002148278,0.9863805,0.0001870933,0.001080485,0.01155383],"study_design_scores_gemma":[0.001925655,0.000407881,0.001532501,0.00008609045,0.0001127659,0.0001823265,0.0001972747,0.005738189,0.9777886,0.003654347,0.007786501,0.0005878703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895383,0.000001056691,0.007111527,0.0001119668,0.0005422059,0.0001131968,0.00003012912,0.00008137949,0.002470269],"genre_scores_gemma":[0.9870856,0.00001243117,0.007556372,0.00002555808,0.001890998,0.000004501684,0.000008128205,0.00004744831,0.0033689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01096596,"threshold_uncertainty_score":0.999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243541951434793,"score_gpt":0.2574885862362961,"score_spread":0.2450531667219481,"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."}}