{"id":"W4306398882","doi":"10.3390/pathogens11101182","title":"Malaria Detection Accelerated: Combing a High-Throughput NanoZoomer Platform with a ParasiteMacro Algorithm","year":2022,"lang":"en","type":"article","venue":"Pathogens","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Parasitemia; Malaria; Gold standard (test); Magnification; Computer science; Algorithm; Virology; Artificial intelligence; Medicine; Immunology; Plasmodium falciparum; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008780541,0.001096591,0.0009949801,0.001178664,0.0003967308,0.001101638,0.001102481,0.0008927049,0.003702947],"category_scores_gemma":[0.001240552,0.0006009203,0.0007662026,0.0004838313,0.0003193205,0.0008388882,0.000878748,0.0009035927,0.002025699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000525768,"about_ca_system_score_gemma":0.0007107089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082228,"about_ca_topic_score_gemma":0.001711931,"domain_scores_codex":[0.9993253,0.00007928014,0.00004019558,0.0002339523,0.0002495987,0.00007182179],"domain_scores_gemma":[0.9996328,0.0001046619,0.00008422617,0.00003293632,0.0001120779,0.00003311412],"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":[0.001534955,0.0004921902,0.009073469,0.001252093,0.0003782919,0.0004658698,0.0003064132,0.01943814,0.5634088,0.006532284,0.02788028,0.3692372],"study_design_scores_gemma":[0.0002283915,0.0007278964,0.007387558,0.00008479053,0.0001869824,0.000893094,0.00008466456,0.6699162,0.2695733,0.00387279,0.0467638,0.0002806855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09627119,0.001756418,0.8613518,0.0005789305,0.0003077317,0.0005636878,0.001183217,0.03200171,0.005985412],"genre_scores_gemma":[0.1812778,0.0005857017,0.8095341,0.0004593102,0.00007998248,0.001014429,0.001467205,0.001163781,0.004417665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003702947,"threshold_uncertainty_score":0.01238757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551914017934506,"score_gpt":0.2230338880588638,"score_spread":0.2075147478795188,"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."}}