{"id":"W2522725979","doi":"10.3389/fcvm.2016.00033","title":"An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping","year":2016,"lang":"en","type":"article","venue":"Frontiers in Cardiovascular Medicine","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Calgary Laboratory Services; Alberta Health Services; Alberta Children's Hospital; University of Calgary","funders":"Health Research Board","keywords":"Cell-free fetal DNA; Transplantation; Genotyping; Medicine; Biopsy; In vivo; Biomarker; Organ transplantation; Liquid biopsy; Pathology; Internal medicine; Biology; Genotype; Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002830296,0.0004322414,0.001809632,0.0007108958,0.00007669096,0.00001075438,0.0003383657,0.0002716571,0.0000413913],"category_scores_gemma":[0.0001836422,0.0002435329,0.0003244822,0.0004219375,0.0003186468,0.0003019949,0.00004245609,0.0003127204,0.000001040755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433999,"about_ca_system_score_gemma":0.0001255266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000290817,"about_ca_topic_score_gemma":0.0001208196,"domain_scores_codex":[0.9961827,0.000446278,0.000918567,0.0008248984,0.001026876,0.0006006366],"domain_scores_gemma":[0.998094,0.0001947863,0.000171836,0.001098536,0.0001081227,0.0003327009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003288063,0.0002712839,0.4646234,0.001399998,0.001512772,0.001807678,0.008952983,0.00004678915,0.09811464,0.0000189931,0.00009711757,0.4198663],"study_design_scores_gemma":[0.05400347,0.001417139,0.4182419,0.01013461,0.002824831,0.0004182046,0.003930563,0.001076647,0.5037448,0.0003146685,0.00270206,0.001191055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6567244,0.009244105,0.3296555,0.0007741723,0.002289822,0.001020105,0.000102782,0.0000656496,0.0001234683],"genre_scores_gemma":[0.9154016,0.006051471,0.07763179,0.0001233909,0.0004136041,0.00004895316,0.0000399379,0.0000821444,0.0002071252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186752,"threshold_uncertainty_score":0.9930983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732810122663952,"score_gpt":0.2598110106202321,"score_spread":0.2324829093935926,"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."}}