{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003686865,0.0001415402,0.0001638788,0.000253872,0.0004961396,0.0002329803,0.00136208,0.000008171415,0.00002305171],"category_scores_gemma":[0.0002467336,0.0001595338,0.0000575862,0.001913434,0.0003144713,0.004462452,0.0005559344,0.00009330086,0.00002181643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005902201,"about_ca_system_score_gemma":0.0002657071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008205823,"about_ca_topic_score_gemma":0.000002130986,"domain_scores_codex":[0.9977481,0.00004561533,0.0003137829,0.0006488221,0.0008368895,0.0004068101],"domain_scores_gemma":[0.998688,0.0001408073,0.0002702649,0.0005551413,0.0002155216,0.0001302331],"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":[0.00004402556,0.001285126,0.02318175,0.00003706681,0.0000363222,0.0001112755,0.001362843,0.02745923,0.777263,0.005339647,0.0009436434,0.1629361],"study_design_scores_gemma":[0.001751711,0.0002722111,0.02388233,0.00009250151,0.00007221763,0.00007657048,0.0006411274,0.2860245,0.6335372,0.05180907,0.0009595043,0.0008810621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816905,0.0004444552,0.01231445,0.0002851937,0.0005877523,0.0002301121,0.0001747756,0.00092485,0.003347971],"genre_scores_gemma":[0.9416726,0.000003922002,0.05786313,0.0003097013,0.000008384219,0.00004776651,0.00004773225,0.00000942282,0.00003729555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585653,"threshold_uncertainty_score":0.6505601,"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."}}