{"id":"W299166791","doi":"","title":"Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification","year":2013,"lang":"en","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Support vector machine; Computer science; Artificial intelligence; Pattern recognition (psychology); Segmentation; Complex wavelet transform; Wavelet; Computer vision; Image segmentation; Wavelet transform; Discrete wavelet transform","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":[0.002610632,0.0005453309,0.0008085191,0.001977863,0.0001963857,0.0007001897,0.000410426,0.0007176659,0.000947059],"category_scores_gemma":[0.007657885,0.0001706578,0.0004419884,0.001393555,0.0002343245,0.001116123,0.0003062407,0.000352133,0.0003349664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212613,"about_ca_system_score_gemma":0.0003155298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139708,"about_ca_topic_score_gemma":0.001205925,"domain_scores_codex":[0.9986309,0.0004160112,0.0001158112,0.0001523375,0.0005461751,0.0001386952],"domain_scores_gemma":[0.9953146,0.003228006,0.0001911801,0.000162614,0.0009722983,0.0001312555],"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":[0.002645338,0.0005478355,0.02842176,0.0003029015,0.0002863665,0.0002256234,0.0001928494,0.05881666,0.03849014,0.0008399732,0.00224177,0.8669887],"study_design_scores_gemma":[0.00003320646,0.0007174275,0.02261695,0.00001709797,0.00007394972,0.0001612554,0.0001092769,0.9635524,0.01187396,0.0002557113,0.0005600305,0.00002868301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628878,0.002427243,0.1304624,0.0002576763,0.0001552215,0.00008347393,0.0002333268,0.0009296002,0.002563306],"genre_scores_gemma":[0.9586692,0.0003289756,0.03957161,0.00002776635,0.00003758024,0.00004063773,0.000348184,0.00003604951,0.0009399119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002610632,"threshold_uncertainty_score":0.01380652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167981684682331,"score_gpt":0.2604153714826877,"score_spread":0.2387355546358644,"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."}}