{"id":"W4286377062","doi":"","title":"CycleGAN with Dynamic Criterion for Malaria Blood Cell Image Synthetization.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Artificial intelligence; Robustness (evolution); Computer science; Artificial neural network; Malaria; Autoencoder; Pattern recognition (psychology); Classifier (UML); Preprocessor; Deep learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469779,0.0005543425,0.0002443877,0.0002814018,0.0001123926,0.0003132967,0.0005303288,0.0004910743,0.001772895],"category_scores_gemma":[0.001017725,0.0001944516,0.0003707064,0.0001839466,0.0003340919,0.0004050027,0.0004942406,0.0006528877,0.0003975324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003851286,"about_ca_system_score_gemma":0.0003732873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375297,"about_ca_topic_score_gemma":0.002304202,"domain_scores_codex":[0.9998565,0.00003770114,0.000005189539,0.00003882726,0.00004363818,0.00001810375],"domain_scores_gemma":[0.9997942,0.00008558333,0.00002197242,0.00003926437,0.00004298539,0.0000160424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002675769,0.0001049317,0.002130833,0.0001711617,0.0001078704,0.0002717758,0.00009901062,0.6397902,0.1143158,0.01104604,0.00760501,0.2240898],"study_design_scores_gemma":[0.000005812964,0.00004958376,0.0002959911,0.000005762597,0.000008179787,0.0000852947,0.000005573079,0.9807798,0.01550692,0.001530223,0.001718605,0.000008189466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07587541,0.0005287055,0.9156133,0.0003829352,0.0001475406,0.0001218198,0.0003133661,0.001446534,0.005570406],"genre_scores_gemma":[0.7085127,0.0003675681,0.2822076,0.0005082553,0.00005627403,0.0001712763,0.001032575,0.0003476413,0.006796183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001772895,"threshold_uncertainty_score":0.005930901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005275785893178297,"score_gpt":0.1826691568046689,"score_spread":0.1773933709114906,"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."}}