{"id":"W4403123880","doi":"10.1109/nmitcon62075.2024.10699300","title":"Malaria Cell Detection using Advanced SVM Techniques","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Malaria; Support vector machine; Computer science; Artificial intelligence; Biology; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005469659,0.00008931336,0.00005909598,0.0001195579,0.00004190284,0.0006792492,0.0002874894,0.00002175311,0.00001087821],"category_scores_gemma":[0.00001036467,0.00008055651,0.00005517511,0.000358198,0.00001921177,0.001734306,0.0001569411,0.00005443584,0.00008138888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003859139,"about_ca_system_score_gemma":0.00004314406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001910871,"about_ca_topic_score_gemma":0.000001609355,"domain_scores_codex":[0.9993133,0.00000960469,0.00009949067,0.0002839869,0.0001324644,0.0001611471],"domain_scores_gemma":[0.9996064,0.00002184227,0.0000143495,0.0002683401,0.00002972785,0.00005929823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002706673,0.00008567578,0.00004819998,0.00008652585,0.00001128183,0.00007327675,0.00005758162,0.00006192029,0.1314167,0.02905123,0.0004487849,0.8386561],"study_design_scores_gemma":[0.00005260702,0.0000477113,0.00008663342,0.00005267535,0.00001050079,0.00003641605,0.000009457102,0.1729659,0.8063752,0.007940695,0.01221673,0.0002054866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02935389,0.0005056207,0.9065338,0.0001878601,0.0005116726,0.0001367967,0.000002057619,0.003081893,0.05968637],"genre_scores_gemma":[0.8685451,0.000002857964,0.1303206,0.0001222229,0.00003186449,0.000006870237,5.367534e-7,0.00001072499,0.0009591526],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8391913,"threshold_uncertainty_score":0.6550015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009456821816206903,"score_gpt":0.2517078797695482,"score_spread":0.2422510579533413,"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."}}