{"id":"W3187116621","doi":"10.3390/mi12080915","title":"Towards Fully Integrated Portable Sensing Devices for COVID-19 and Future Global Hazards: Recent Advances, Challenges, and Prospects","year":2021,"lang":"en","type":"review","venue":"Micromachines","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); CMOS; Scalability; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nanotechnology; Engineering; Infectious disease (medical specialty); Disease; Medicine; Electrical engineering; Materials science","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":[0.0003680615,0.000615673,0.00188674,0.0001349783,0.0002102554,0.0001035296,0.00007982842,0.0003765054,0.00001075558],"category_scores_gemma":[0.0006755742,0.0004589884,0.0002102444,0.0004074399,0.00008067238,0.00009640177,0.00009474957,0.0003857868,0.000001619534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304098,"about_ca_system_score_gemma":0.0009111335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008757097,"about_ca_topic_score_gemma":0.0007594429,"domain_scores_codex":[0.9978797,0.0001160286,0.0005880658,0.0008599341,0.0001806032,0.0003756973],"domain_scores_gemma":[0.9987949,0.0001292003,0.0003817686,0.0002575063,0.0002210147,0.0002155835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002831901,0.00003646771,0.00002511226,0.02771531,0.0002056355,0.0001261756,0.00008030644,2.389135e-8,0.00006882504,0.00008423615,0.0002827621,0.9713469],"study_design_scores_gemma":[0.0008557066,0.000133453,0.00002690963,0.006369187,0.0009334052,0.005779226,0.0002078576,0.00001981305,0.00006849415,0.0001153849,0.9850749,0.000415663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002726741,0.9957712,0.0001345966,0.0009150842,0.0004955706,0.001404983,0.0001787281,0.0002167606,0.0006104326],"genre_scores_gemma":[0.00001464591,0.9905313,0.006889261,0.001212622,0.0008722507,0.00004330335,0.0003193718,0.00006741461,0.00004988381],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9847921,"threshold_uncertainty_score":0.9997862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06354865334226008,"score_gpt":0.3747167894412424,"score_spread":0.3111681360989823,"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."}}