{"id":"W2776786762","doi":"10.1097/tp.0000000000001818","title":"Of Cells and Microparticles","year":2017,"lang":"en","type":"review","venue":"Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Strengths and weaknesses; Standardization; Risk analysis (engineering); Computer science; Imperfect; Computational biology; Medicine; Immunology; Data science; Biology; Psychology","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":[0.00004575627,0.0001510164,0.0007566747,0.00008378549,0.00003616796,0.0000110146,0.00003860974,0.0000945971,0.00001922528],"category_scores_gemma":[0.000001528253,0.0001067168,0.0001647271,0.00002957188,0.00004863885,0.00004028552,0.000001778968,0.0000674488,0.00001558039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008830232,"about_ca_system_score_gemma":0.00004933793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001675186,"about_ca_topic_score_gemma":0.000003976942,"domain_scores_codex":[0.9993502,0.00002456538,0.0003001075,0.0001464454,0.00009691177,0.00008177659],"domain_scores_gemma":[0.9995261,0.00005870796,0.000191691,0.0001501528,0.00002028498,0.00005301899],"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":[0.00006643108,0.00005712168,0.0001696815,0.125112,0.0003030182,0.0001306603,0.000183217,9.219924e-8,0.0001188867,0.0001098751,0.000002936614,0.873746],"study_design_scores_gemma":[0.007300826,0.0006445111,0.004219795,0.1540954,0.03674793,0.002507145,0.00002282554,0.000006266177,0.006540935,0.00005901272,0.7871302,0.0007251406],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004892423,0.9982518,0.00006996426,0.000008574648,0.00005536455,0.0004280086,0.0002246551,0.00001256486,0.0004598024],"genre_scores_gemma":[0.001016126,0.9977628,0.0006071241,0.000005314708,0.00001580611,0.00001318126,0.0003019386,0.00001704911,0.0002606476],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8730209,"threshold_uncertainty_score":0.4351786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151532090470382,"score_gpt":0.3994774752605612,"score_spread":0.284324266213523,"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."}}