{"id":"W4252483145","doi":"10.1002/cytob.21111","title":"Use of CD157 in FLAER-based assays for high-sensitivity PNH granulocyte and PNH monocyte detection","year":2013,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Toronto General Hospital; University Health Network","funders":"","keywords":"Monocyte; CD64; Granulocyte; Analyte; AutoAnalyzer; Predicate (mathematical logic); Paroxysmal nocturnal hemoglobinuria; Immunology; Medicine; Chemistry; Flow cytometry; Internal medicine; Chromatography; Computer science","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":[0.002615162,0.0008281987,0.0003622085,0.0008259388,0.0003673373,0.001056981,0.0005391601,0.001082133,0.003866477],"category_scores_gemma":[0.00325191,0.0003409176,0.0003955648,0.0005300551,0.0006209615,0.0005802825,0.00111697,0.0008854214,0.00171479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183912,"about_ca_system_score_gemma":0.0004195721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470034,"about_ca_topic_score_gemma":0.001034001,"domain_scores_codex":[0.9972223,0.001072199,0.0002387457,0.0004444235,0.0008104548,0.0002118743],"domain_scores_gemma":[0.998295,0.0006743785,0.0003902139,0.0002507773,0.0002808282,0.0001087563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002301746,0.00005713479,0.003222822,0.0001552137,0.00002791611,0.0001053193,0.00008968511,0.0002444725,0.9836898,0.000735219,0.00028776,0.01115443],"study_design_scores_gemma":[0.00001780675,0.0002596701,0.006526605,0.00003694771,0.0000392583,0.0008312652,0.00004152087,0.003386919,0.9856831,0.0002206073,0.002940848,0.0000153916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.603993,0.003020787,0.3716834,0.0004457841,0.0001623708,0.0008779513,0.0007012583,0.001977149,0.0171383],"genre_scores_gemma":[0.7984184,0.001281884,0.1910774,0.0003315162,0.00004384745,0.0005861657,0.001399182,0.0001986621,0.006662896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003866477,"threshold_uncertainty_score":0.01383048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09800514233828858,"score_gpt":0.3388645217637591,"score_spread":0.2408593794254705,"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."}}