{"id":"W2666106632","doi":"10.1016/j.trsl.2017.06.009","title":"Antigen-specific regulatory T cells: are police CARs the answer?","year":2017,"lang":"en","type":"review","venue":"Translational research","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Immunology; Immune system; Autoimmunity; Antigen; Chimeric antigen receptor; Cell therapy; Polyclonal antibodies; Major histocompatibility complex; Biology; T-cell receptor; T cell; Medicine; Stem cell; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001520658,0.0008673308,0.001498432,0.001141675,0.0003748388,0.001723501,0.001311689,0.002595569,0.005539726],"category_scores_gemma":[0.001852579,0.0002497089,0.0004403543,0.001191602,0.00111681,0.002279031,0.0008818477,0.003794859,0.002723626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364235,"about_ca_system_score_gemma":0.001898764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080801,"about_ca_topic_score_gemma":0.00227304,"domain_scores_codex":[0.9996755,0.0000815502,0.00003159068,0.00005604601,0.0001082987,0.00004699722],"domain_scores_gemma":[0.9990796,0.0004979174,0.00008539925,0.00002401056,0.0002288207,0.00008428076],"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":[0.000112886,0.00004980518,0.0001466765,0.00811246,0.00005846112,0.0001115031,0.00005208772,0.0001821844,0.0007709578,0.009365839,0.09299851,0.8880386],"study_design_scores_gemma":[0.00002747632,0.00005183667,0.0001810234,0.002982331,0.00005947594,0.0003368081,0.00007443681,0.00004051654,0.000175523,0.004166536,0.9918925,0.00001155602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004570305,0.9962068,0.000103423,0.00206247,0.0008540564,0.000002592106,0.00001331445,0.000005581977,0.0007061182],"genre_scores_gemma":[0.0006528097,0.9960699,0.000128162,0.001665786,0.0008001588,0.000005959895,0.00002288388,0.000001548348,0.0006527228],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005539726,"threshold_uncertainty_score":0.01853222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4782631353955542,"score_gpt":0.5226650620180232,"score_spread":0.044401926622469,"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."}}