{"id":"W4317930560","doi":"10.3390/mi14020281","title":"Highly-Sensitive, Label-Free Detection of Microorganisms and Viruses via Interferometric Reflectance Imaging Sensor","year":2023,"lang":"en","type":"review","venue":"Micromachines","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Science Foundation","keywords":"Microorganism; Modality (human–computer interaction); Computer science; Nanotechnology; Biology; Materials science; Artificial intelligence; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001110038,0.0003587139,0.0006933781,0.0002584313,0.00009827895,0.00002282849,0.0002382591,0.0002183262,5.084925e-7],"category_scores_gemma":[0.000105175,0.0003147784,0.0001539643,0.0005633674,0.0001386823,0.000003928534,0.0003748617,0.0001751705,0.000006938551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002587073,"about_ca_system_score_gemma":0.00002806626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894313,"about_ca_topic_score_gemma":0.00003814592,"domain_scores_codex":[0.9986659,0.00007191384,0.0004342554,0.0005495049,0.00007082348,0.0002075892],"domain_scores_gemma":[0.9988708,0.00004885477,0.0003537438,0.0005800513,0.0001005186,0.00004599646],"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":[0.000007898056,0.00001841369,0.000001827182,0.0008786374,0.0000550275,0.00000297213,0.000003534601,3.041085e-8,0.7436404,0.000004657288,0.0001132932,0.2552734],"study_design_scores_gemma":[0.0001997784,0.0001232675,0.00001004357,0.001386436,0.000269066,0.0003239603,0.00000680357,0.000007825428,0.5829765,0.000184558,0.4140164,0.0004954228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005954396,0.9822744,0.01068984,0.00002394875,0.0001098199,0.0004836488,0.000311064,0.0001216855,0.00003125013],"genre_scores_gemma":[0.004092563,0.9864266,0.008785293,0.00004626229,0.0001536011,0.00002762623,0.0001728908,0.0001138817,0.0001812862],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4139031,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839807916378604,"score_gpt":0.3385874600066984,"score_spread":0.3101893808429124,"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."}}