{"id":"W4385477002","doi":"10.1002/cyto.a.24776","title":"<scp>flowSim</scp> : Near duplicate detection for flow cytometry data","year":2023,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Terry Fox Research Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Overfitting; Computer science; Cluster analysis; Bivariate analysis; Redundancy (engineering); Data mining; Pattern recognition (psychology); Artificial intelligence; Preprocessor; Machine learning; Artificial neural network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01180598,0.002894266,0.00300784,0.008008781,0.002776403,0.003579587,0.008227564,0.003162416,0.1700832],"category_scores_gemma":[0.05278704,0.002241904,0.00160891,0.01019389,0.002287071,0.004008797,0.004085364,0.004915935,0.06675492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002858545,"about_ca_system_score_gemma":0.004395582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868851,"about_ca_topic_score_gemma":0.008819463,"domain_scores_codex":[0.9909338,0.001203553,0.001065386,0.001289891,0.00499164,0.0005157501],"domain_scores_gemma":[0.9713911,0.01237608,0.002132469,0.007628724,0.005487856,0.0009839095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002725221,0.00006844095,0.001101405,0.0007416365,0.00008139036,0.0003972978,0.0001451559,0.00101511,0.009242632,0.005140624,0.9419415,0.03985214],"study_design_scores_gemma":[0.0009111013,0.0002161263,0.01162043,0.000642151,0.0001086609,0.002591971,0.0001309091,0.09149189,0.1163574,0.06552292,0.7099365,0.0004699424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005208182,0.0006190703,0.3607701,0.004876033,0.002375104,0.001663405,0.2181533,0.3876392,0.01869561],"genre_scores_gemma":[0.04944143,0.001200056,0.5177976,0.004899993,0.002163295,0.009779506,0.3130224,0.08202539,0.01967025],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1700832,"threshold_uncertainty_score":0.568985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05699497155382704,"score_gpt":0.2922918264205779,"score_spread":0.2352968548667508,"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."}}