{"id":"W2788285513","doi":"10.1016/j.bios.2018.01.037","title":"Advances in biosensors and optical assays for diagnosis and detection of malaria","year":2018,"lang":"en","type":"review","venue":"Biosensors and Bioelectronics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Malaria; Diagnosis of malaria; Risk analysis (engineering); Biosensor; Computer science; Nanotechnology; Medicine; Biotechnology; Intensive care medicine; Plasmodium falciparum; Biology; Immunology; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002653479,0.0003761849,0.00137572,0.0002264687,0.00006627214,0.00003198062,0.00005442416,0.0004173401,0.000004896237],"category_scores_gemma":[0.0002079633,0.0002782022,0.0002206258,0.0002083945,0.0002305757,0.00005727607,0.00004475076,0.0002176958,7.578651e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005753073,"about_ca_system_score_gemma":0.0001239675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387838,"about_ca_topic_score_gemma":0.00007512121,"domain_scores_codex":[0.9982741,0.00006441367,0.0005262711,0.0005740205,0.0001409923,0.0004201509],"domain_scores_gemma":[0.9990122,0.0002846866,0.0002309121,0.000210015,0.00008493881,0.0001772244],"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":[0.0002101023,0.0001085709,0.0002227307,0.01007051,0.0001075597,0.000006592418,0.00001125388,1.991232e-8,0.00008355111,0.000917775,0.00003123502,0.9882301],"study_design_scores_gemma":[0.001918454,0.003478589,0.0004026494,0.004718697,0.002571956,0.0001320298,0.00004914324,0.0003064054,0.0004360974,0.000175513,0.9853115,0.00049896],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01126956,0.9869326,0.00002339088,0.000122652,0.00007799346,0.001405343,0.0001046418,0.00001800132,0.0000457611],"genre_scores_gemma":[0.02662334,0.9726813,0.0001973704,0.00003407422,0.000198493,0.0001480648,0.00003578747,0.00004042644,0.00004110452],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9877312,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147200133881793,"score_gpt":0.3215569814135337,"score_spread":0.3000849800747158,"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."}}