{"id":"W2013676722","doi":"10.1002/cyto.10082","title":"Precise CD4 T‐cell counting using red diode laser excitation: For richer, for poorer","year":2002,"lang":"en","type":"article","venue":"Cytometry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Flow cytometry; Diode; Laser; Laser diode; Computer science; Materials science; Optics; Physics; Optoelectronics; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001534414,0.0001514323,0.0001524259,0.00007064902,0.0001394467,0.00004308168,0.0001389343,0.0001826773,0.00003934973],"category_scores_gemma":[0.0001316165,0.0001563944,0.0001499199,0.0001527625,0.00003710727,0.000007376172,0.0000216964,0.00005505061,0.000004639726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000312038,"about_ca_system_score_gemma":0.0000188432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008169199,"about_ca_topic_score_gemma":0.000004393034,"domain_scores_codex":[0.9990748,0.00001718214,0.000213636,0.00032188,0.00009453735,0.0002779382],"domain_scores_gemma":[0.9994339,0.00004832602,0.00008435605,0.0002157159,0.0001528538,0.00006479026],"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":[0.0001223978,0.0001276696,0.00267588,0.000119786,0.00003831749,7.404001e-7,0.00006196312,0.00007837269,0.9900979,0.000008060198,0.004620097,0.002048752],"study_design_scores_gemma":[0.003022482,0.000338171,0.00064399,0.00003168817,0.00009912187,0.000006504674,0.0001300842,0.01368398,0.9164264,0.0001372229,0.06499536,0.000485059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191043,0.001207811,0.07751049,0.00008798074,0.0004087977,0.000432601,0.0000737358,0.00002169593,0.001152613],"genre_scores_gemma":[0.9786252,0.00005653594,0.01850649,0.0003381313,0.0005670542,0.00004775474,0.0001346582,0.00004774596,0.001676419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07367162,"threshold_uncertainty_score":0.6377579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04931150802803761,"score_gpt":0.2697521505688779,"score_spread":0.2204406425408403,"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."}}