{"id":"W2301999533","doi":"10.1002/cyto.b.21370","title":"Automation for clinical CD4 T‐cell enumeration, a desirable tool in the hands of skilled operators","year":2016,"lang":"en","type":"review","venue":"Cytometry Part B Clinical Cytometry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Immunophenotyping; Protocol (science); Automation; Enumeration; Cytometry; Software; Computer science; Flow cytometry; Gating; Algorithm; Medical physics; Computer hardware; Artificial intelligence; Pathology; Medicine; Immunology; Mathematics; Programming language; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01846325,0.00110449,0.0006068858,0.002485247,0.001872491,0.003206126,0.002101158,0.001240675,0.00588001],"category_scores_gemma":[0.04169647,0.0005875133,0.000717148,0.001422942,0.002524127,0.001298757,0.002025711,0.0016009,0.004343677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002929274,"about_ca_system_score_gemma":0.007968517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608518,"about_ca_topic_score_gemma":0.01692613,"domain_scores_codex":[0.96607,0.008537517,0.002042095,0.002894745,0.01915842,0.001297259],"domain_scores_gemma":[0.9322048,0.02554125,0.008381277,0.01124541,0.02140469,0.00122263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006675742,0.0003862282,0.1402824,0.001470578,0.0001273015,0.001378676,0.002047661,0.004398135,0.07779201,0.003932844,0.04010989,0.7274067],"study_design_scores_gemma":[0.0002652202,0.002776137,0.4004441,0.001780848,0.0003793129,0.02069484,0.002374084,0.0365025,0.2265544,0.01655506,0.2911624,0.000511074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2667544,0.006227981,0.6509625,0.01457202,0.001304071,0.004221608,0.001904569,0.01063247,0.04342041],"genre_scores_gemma":[0.5479197,0.001307787,0.4394304,0.003771533,0.0005911022,0.0008053358,0.00126528,0.0005213754,0.004387438],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01846325,"threshold_uncertainty_score":0.09764421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488608537471486,"score_gpt":0.4451757786804022,"score_spread":0.2963149249332536,"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."}}