{"id":"W4403544053","doi":"10.1128/spectrum.00672-24","title":"Evaluation of a near-patient SARS-CoV-2 novel rapid diagnostic platform","year":2024,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Horizon 2020 Framework Programme","keywords":"Point-of-care testing; Pebble; Diagnostic test; Loop-mediated isothermal amplification; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Point of care; Medicine; Turnaround time; Computational biology; Coronavirus disease 2019 (COVID-19); Computer science; Pathology; Biology; Emergency medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002363951,0.0001149678,0.0001464342,0.00008394887,0.00002747132,0.00002046915,0.00005365577,0.0001263051,0.0001085436],"category_scores_gemma":[0.00006868681,0.0001004796,0.00007882088,0.0001801596,0.00007099556,0.00004569704,0.00001747984,0.0001523682,0.000138717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011189,"about_ca_system_score_gemma":0.00002717634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000215725,"about_ca_topic_score_gemma":0.00005199362,"domain_scores_codex":[0.999347,0.00001713539,0.0002083565,0.0001633866,0.00006890327,0.000195208],"domain_scores_gemma":[0.9997195,0.00009765921,0.00001621034,0.0001180886,0.00003218341,0.00001636624],"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":[0.000003457224,0.00002135078,0.000006675689,0.00003887375,0.00009432763,0.000002382994,0.00008485399,0.001350612,0.9792986,0.0003157787,0.0009874203,0.01779569],"study_design_scores_gemma":[0.0002012756,0.0001448223,0.0002034147,0.00006505854,0.0001293941,0.00006022755,0.00001296691,0.2033417,0.7822502,0.0006260163,0.01281901,0.0001459416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993398,0.002021635,0.001449449,0.0001323187,0.001013172,0.000172237,0.00005513071,0.0001772037,0.001580843],"genre_scores_gemma":[0.999662,0.00004868405,0.000140579,0.00003027424,0.00006249444,0.00000861863,0.00002083519,0.0000179416,0.000008589833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2019911,"threshold_uncertainty_score":0.4097438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445393182139697,"score_gpt":0.2451780787786901,"score_spread":0.2207241469572931,"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."}}