{"id":"W1972829922","doi":"10.1109/icsip.2010.5697482","title":"Notice of Removal Granulometry deficiencies in blood smears particles specification","year":2010,"lang":"en","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Notice; Granulometry; Computer science; Chromatography; Chemistry; Political science; Geology","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":[0.0007882253,0.0003758327,0.0003112585,0.0006247614,0.000726437,0.0006921507,0.000774885,0.00295583,0.01060777],"category_scores_gemma":[0.00362209,0.000157946,0.0004841895,0.0002594851,0.0004558563,0.0003450732,0.0004546694,0.002017227,0.003279772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004201531,"about_ca_system_score_gemma":0.0007140066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753906,"about_ca_topic_score_gemma":0.001763582,"domain_scores_codex":[0.9989097,0.0001100686,0.0001304348,0.00009581595,0.0006273444,0.0001267218],"domain_scores_gemma":[0.9977716,0.0007855545,0.0001635907,0.00032063,0.0007460605,0.0002126045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006732392,0.000411288,0.01196601,0.00121995,0.00008551251,0.03986259,0.0007604056,0.001152505,0.4189053,0.006609181,0.2866628,0.2256319],"study_design_scores_gemma":[0.000147375,0.0009559456,0.02232585,0.0001000167,0.00007710982,0.02229943,0.0003541888,0.003809892,0.2812839,0.002367524,0.6661823,0.00009646673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4581486,0.02324083,0.1149487,0.1539493,0.09349331,0.001369493,0.007199653,0.01863512,0.129015],"genre_scores_gemma":[0.68707,0.004928234,0.03856159,0.02325298,0.008589324,0.0002316816,0.006725269,0.001723666,0.2289173],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01060777,"threshold_uncertainty_score":0.03548658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307395359989421,"score_gpt":0.2309474466550671,"score_spread":0.2178734930551729,"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."}}