{"id":"W4328054405","doi":"10.18280/ts.400108","title":"Optimal Machine Learning Based Automated Malaria Parasite Detection and Classification Model Using Blood Smear Images","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood smear; Malaria; Artificial intelligence; Computer science; Parasite hosting; Machine learning; Pattern recognition (psychology); Medicine; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002734802,0.000179829,0.0001355267,0.0002508375,0.0002292596,0.000495533,0.0002418833,0.00003833306,0.000008992078],"category_scores_gemma":[0.00002949154,0.0001880457,0.00005807251,0.0004929365,0.00005536648,0.0009364749,0.0001086259,0.0001080128,0.00002434953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003060099,"about_ca_system_score_gemma":0.00005417239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154775,"about_ca_topic_score_gemma":0.000001433251,"domain_scores_codex":[0.9986185,0.00007112413,0.0002395171,0.0004294227,0.0003322595,0.0003091406],"domain_scores_gemma":[0.9994592,0.00005222033,0.0001094767,0.0001868776,0.00006797797,0.0001242317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003250811,0.00023072,0.005280737,0.00005591084,0.00006229545,0.00003906834,0.0001556895,0.7780297,0.2056132,0.0004273114,0.00006241423,0.0100104],"study_design_scores_gemma":[0.000710565,0.00008411304,0.02729089,0.00002575422,0.00005663522,0.00001202526,0.00001131892,0.9639547,0.007530877,0.000106565,0.00001941455,0.0001971401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5919798,0.00003639942,0.4058698,0.0001747367,0.0000377099,0.0001624829,0.00001728112,0.001628138,0.00009368471],"genre_scores_gemma":[0.9734998,0.000003218386,0.02627872,0.00006564941,0.00002360319,0.00002035301,0.00003801235,0.00002119603,0.00004944461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.38152,"threshold_uncertainty_score":0.7668282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300451666201189,"score_gpt":0.2647648996029194,"score_spread":0.2347197329828005,"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."}}