{"id":"W4313383855","doi":"10.4049/jimmunol.200.supp.120.24","title":"Cross platform validation of a unique method for deep genomic and proteomic analysis of rare immune cell populations","year":2018,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mass cytometry; Flow cytometry; Cell sorting; Immune system; RNA; Computational biology; Biology; Cytometry; DNA; CD8; Cell; Antibody; Molecular biology; Cell biology; Immunology; Gene; Genetics","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":[0.003850299,0.001098875,0.0006167549,0.001483011,0.000761114,0.001177393,0.0007688089,0.001324261,0.001470032],"category_scores_gemma":[0.003628477,0.0005250008,0.0007651559,0.0007053199,0.0009162928,0.0004728986,0.001486936,0.0009978499,0.001348062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005188383,"about_ca_system_score_gemma":0.0009448774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000867651,"about_ca_topic_score_gemma":0.001996343,"domain_scores_codex":[0.9964498,0.0006102248,0.0001933745,0.001150458,0.001337806,0.0002582797],"domain_scores_gemma":[0.9978849,0.0005154309,0.0002755248,0.0003846203,0.0007797837,0.0001596947],"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":[0.00008199934,0.00008542534,0.0008035362,0.00006625858,0.00003537443,0.00003536464,0.00005934398,0.0003632683,0.9920012,0.0002442894,0.0002183359,0.00600564],"study_design_scores_gemma":[0.00002333137,0.0004736197,0.005026964,0.00002959575,0.00007011481,0.0003572339,0.00004844406,0.008254142,0.980645,0.0002360472,0.004797424,0.00003798047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4204587,0.001296555,0.566645,0.0004970416,0.0004420315,0.001588504,0.002967565,0.002508916,0.003595635],"genre_scores_gemma":[0.3714097,0.001090996,0.6086507,0.0009601159,0.0001094672,0.003402124,0.007476531,0.0007056434,0.006194716],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003850299,"threshold_uncertainty_score":0.02036256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242409246671374,"score_gpt":0.2947874474977988,"score_spread":0.2723633550310851,"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."}}