{"id":"W4412008032","doi":"10.3390/s25134145","title":"Comb-Tipped Coupled Cantilever Sensor for Enhanced Real-Time Detection of E. coli Bacteria","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Eli Lilly and Company","keywords":"Cantilever; Bacteria; Materials science; Computer science; Nanotechnology; Biology; Composite material","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":[0.00009739,0.0001325982,0.000295033,0.00004800926,0.00007058437,0.00001407737,0.00008183297,0.00006566333,0.0004619757],"category_scores_gemma":[0.00004732772,0.000117575,0.000143419,0.0001590945,0.00004248714,0.00002414774,0.00002916064,0.00007497594,0.00003650628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001965128,"about_ca_system_score_gemma":0.00004510002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002361851,"about_ca_topic_score_gemma":0.000008637601,"domain_scores_codex":[0.9991218,0.00003452515,0.0002792193,0.0002219834,0.0001009884,0.0002414491],"domain_scores_gemma":[0.9992636,0.0002575337,0.00008868983,0.0001848421,0.0001276082,0.00007772882],"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":[0.0002205631,0.00007540748,0.0000620034,0.00003689238,0.00007827849,2.282249e-7,0.00002760207,0.00003052878,0.9809058,0.01443394,0.00008245933,0.004046266],"study_design_scores_gemma":[0.001063285,0.00009341369,0.001472069,0.00004716267,0.00006598514,6.958209e-8,0.00009041129,0.02031937,0.9710651,0.003244937,0.002371564,0.0001666403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862036,0.000002662845,0.008369245,0.00007447692,0.0002132688,0.0003876274,0.00006741488,0.00003147966,0.004650212],"genre_scores_gemma":[0.9940661,0.000002297246,0.0006085266,0.00002021332,0.0000726938,0.00002854531,0.00002023279,0.00001316746,0.005168205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028884,"threshold_uncertainty_score":0.505831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006579023555299794,"score_gpt":0.2452923222662778,"score_spread":0.238713298710978,"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."}}