{"id":"W2294871508","doi":"10.1371/journal.pone.0151224","title":"Generation of Antigen Microarrays to Screen for Autoantibodies in Heart Failure and Heart Transplantation","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Laurentian University; Women's College Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Astellas Pharma; University of Toronto; Heart and Stroke Foundation of Canada","keywords":"Autoantibody; Heart transplantation; Antigen; Heart failure; Medicine; Immunology; Transplantation; Antibody; Panel reactive antibody; Lung transplantation; Microarray; Internal medicine; Biology; Human leukocyte antigen; Gene expression","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":[0.000429811,0.0004471969,0.0004882872,0.0007441963,0.0002165019,0.0003480766,0.0003454824,0.0005419736,0.0008100406],"category_scores_gemma":[0.000778149,0.0003146791,0.0003250944,0.0005448805,0.0001151714,0.0002778351,0.0003814221,0.0004754836,0.0004320271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546718,"about_ca_system_score_gemma":0.0001812234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004777701,"about_ca_topic_score_gemma":0.0008315947,"domain_scores_codex":[0.9995062,0.0001149423,0.00003674811,0.0001138549,0.000139686,0.00008861967],"domain_scores_gemma":[0.9996443,0.0001204772,0.00007130133,0.0000412021,0.00008322499,0.00003960822],"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":[0.0001025563,0.00007690286,0.00332826,0.00004864785,0.00002034032,0.00008044852,0.00003664513,0.0006340176,0.9865638,0.0001309281,0.0003097214,0.0086677],"study_design_scores_gemma":[0.00004866101,0.0016704,0.0910702,0.00003291199,0.0001088644,0.001203163,0.0001956316,0.04154792,0.850427,0.0007882993,0.01284139,0.00006563534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718109,0.002326349,0.1181213,0.0004075931,0.0001843998,0.0004914261,0.002329068,0.000958372,0.003370615],"genre_scores_gemma":[0.8303797,0.001524655,0.1588531,0.0005465697,0.00007495753,0.001157383,0.003832417,0.00007388683,0.003557337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008100406,"threshold_uncertainty_score":0.002709806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09969175841979717,"score_gpt":0.3154073549259768,"score_spread":0.2157155965061797,"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."}}