{"id":"W4291156535","doi":"10.1002/advs.202105396","title":"Automated Recognition of <i>Plasmodium falciparum</i> Parasites from Portable Blood Levitation Imaging","year":2022,"lang":"en","type":"article","venue":"Advanced Science","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; International Development Research Centre; Stanford Maternal and Child Health Research Institute; Thomas and Stacey Siebel Foundation; Georgia Clinical and Translational Science Alliance; National Institute of Allergy and Infectious Diseases; Dominican University of California","keywords":"Malaria; Plasmodium falciparum; Gold standard (test); Computer science; Parasite hosting; Artificial intelligence; Biology; Immunology; Medicine; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933851,0.0003462122,0.0003568578,0.0005507182,0.0001426126,0.0003672232,0.0003092704,0.0003391365,0.001575295],"category_scores_gemma":[0.0005323287,0.0001703381,0.0001929437,0.0002974691,0.0002079755,0.0003071984,0.0003292883,0.000249388,0.0007025289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384262,"about_ca_system_score_gemma":0.0001462813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008782152,"about_ca_topic_score_gemma":0.00148673,"domain_scores_codex":[0.999864,0.00002235549,0.000004795965,0.000032858,0.00005444487,0.00002155665],"domain_scores_gemma":[0.9998133,0.00006199018,0.00005068227,0.00001529857,0.00004600164,0.00001287538],"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":[0.0003845186,0.00007147348,0.00633712,0.0001563963,0.00001866728,0.0002755481,0.00007705121,0.001991098,0.8665201,0.0001088846,0.001633067,0.122426],"study_design_scores_gemma":[0.00006240311,0.001055023,0.1043156,0.00005720912,0.00009145236,0.003367421,0.0002800877,0.1255467,0.7590517,0.0004457132,0.005632828,0.00009385191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8084317,0.0006650228,0.1829915,0.0002405218,0.00007013494,0.000199499,0.0006484192,0.002223842,0.004529205],"genre_scores_gemma":[0.907849,0.0005798145,0.08728878,0.0001258769,0.00004569881,0.00008733003,0.0006021544,0.0000970958,0.003324298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575295,"threshold_uncertainty_score":0.005269885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245490996242939,"score_gpt":0.2593650791401828,"score_spread":0.2469101691777534,"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."}}