{"id":"W4410424432","doi":"10.1007/s10278-025-01538-y","title":"Artificial Intelligence and Data Science Methods for Automatic Detection of White Blood Cells in Images","year":2025,"lang":"en","type":"review","venue":"Journal of Imaging Informatics in Medicine","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Artificial intelligence; Computer science; White (mutation); Pattern recognition (psychology); Biology","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":[0.002890409,0.001043054,0.001148217,0.01033202,0.0003852212,0.002055156,0.001262231,0.00142784,0.003402533],"category_scores_gemma":[0.007017907,0.0004283501,0.001323981,0.008916603,0.001386123,0.003216764,0.0009552999,0.002275646,0.001810747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446769,"about_ca_system_score_gemma":0.002060646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246466,"about_ca_topic_score_gemma":0.002174705,"domain_scores_codex":[0.9982496,0.0004114982,0.000209712,0.0002334514,0.0008559722,0.00003974243],"domain_scores_gemma":[0.9947142,0.003771333,0.0002803229,0.0002327425,0.0009359738,0.00006546703],"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":[0.00002094095,0.00005327328,0.0005022944,0.01441854,0.0001765287,0.00007617499,0.0001186569,0.001194796,0.001144467,0.02190993,0.01246075,0.9479238],"study_design_scores_gemma":[0.00002467374,0.0001421043,0.005260284,0.01573178,0.0004016063,0.001473746,0.0002609174,0.005543381,0.00412547,0.04439352,0.9225019,0.0001405524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006552828,0.9620069,0.02684599,0.001508107,0.0005206986,0.0001015096,0.0001783439,0.0001311942,0.008051872],"genre_scores_gemma":[0.007555068,0.9556283,0.03314292,0.0007163323,0.0004856478,0.0001460191,0.0002604245,0.00003137915,0.002034056],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01033202,"threshold_uncertainty_score":0.01528615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07622923030032783,"score_gpt":0.4433682974828355,"score_spread":0.3671390671825077,"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."}}