{"id":"W4416923882","doi":"10.1109/3m-nano65639.2025.11261203","title":"Blood Cell Detection: A Review","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Blood cell; Flow cytometry; Disease; Cell; Precision medicine; Disease monitoring","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":[0.001056999,0.001228098,0.00182229,0.003982472,0.0004368122,0.001763603,0.001462414,0.001802038,0.004412067],"category_scores_gemma":[0.001471566,0.000514416,0.0007854323,0.003160898,0.0006564248,0.002522544,0.0009571926,0.001833729,0.004447759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007777071,"about_ca_system_score_gemma":0.001225392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244573,"about_ca_topic_score_gemma":0.001111447,"domain_scores_codex":[0.9994888,0.00006926517,0.00006404271,0.000113895,0.0002161635,0.00004776866],"domain_scores_gemma":[0.9990657,0.0004322513,0.00008520786,0.00002399775,0.0003307461,0.00006213078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009030288,0.00009415112,0.0003035991,0.01624134,0.00008314864,0.0002153538,0.00006639495,0.0003579083,0.003240136,0.002928924,0.06023853,0.9161403],"study_design_scores_gemma":[0.000009743772,0.0001068258,0.0005784099,0.003219834,0.00009946793,0.001462373,0.00005953282,0.0001689604,0.001517477,0.001354405,0.9913914,0.0000315505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001021724,0.9978431,0.0002917222,0.0003571294,0.0005179378,0.000007172153,0.00002309743,0.00001125736,0.0008463885],"genre_scores_gemma":[0.0007255993,0.9970682,0.0004057264,0.0004862207,0.0004957952,0.00001388206,0.00006561895,0.000003725442,0.0007351782],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004412067,"threshold_uncertainty_score":0.01475978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006961819364280769,"score_gpt":0.2414761877477885,"score_spread":0.2345143683835078,"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."}}