{"id":"W2110802524","doi":"10.4049/jimmunol.1303371","title":"Chemokines as Novel and Versatile Reagents for Flow Cytometry and Cell Sorting","year":2014,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Chemokine receptors and signaling","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Wellcome Trust","keywords":"Flow cytometry; Sorting; Chemokine; Cell sorting; Computational biology; Chemistry; Biology; Cell biology; Computer science; Immunology; Inflammation","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":[0.001463581,0.00122982,0.0004638899,0.001272786,0.0005931321,0.001316206,0.0008251105,0.000870971,0.004210607],"category_scores_gemma":[0.0008524627,0.0004881884,0.0002584828,0.0005627619,0.0007311162,0.001193409,0.0007981813,0.001651649,0.002325948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007858434,"about_ca_system_score_gemma":0.0007932777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003257276,"about_ca_topic_score_gemma":0.001010009,"domain_scores_codex":[0.998836,0.0004171261,0.00008739212,0.0001566625,0.0004009749,0.0001017781],"domain_scores_gemma":[0.9995871,0.0001384487,0.00007697625,0.00005565417,0.00007656661,0.00006521144],"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":[0.0001418052,0.00007756334,0.000248947,0.0002773589,0.00001090891,0.0001140541,0.00008325539,0.0003456866,0.9407067,0.01288456,0.002638864,0.04247026],"study_design_scores_gemma":[0.00005875265,0.000296252,0.0005656676,0.00008419983,0.000026414,0.001163233,0.00003658871,0.004805053,0.8605228,0.002797994,0.1295928,0.00005032253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024377,0.02730756,0.8422329,0.003577022,0.001407867,0.00149881,0.001378824,0.004079964,0.01607934],"genre_scores_gemma":[0.2636561,0.01770487,0.6900306,0.001481005,0.0008802945,0.003076325,0.001676816,0.0005175752,0.02097632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004210607,"threshold_uncertainty_score":0.01408595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308783356490123,"score_gpt":0.2583667698700653,"score_spread":0.2452789363051641,"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."}}