{"id":"W2072899734","doi":"10.1111/j.1399-3089.2008.00466.x","title":"Moving towards clinical application","year":2008,"lang":"en","type":"article","venue":"Xenotransplantation","topic":"Xenotransplantation and immune response","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Library science; Medicine; Transplantation; Family medicine; Internal medicine; Computer science","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":[0.0002900976,0.0001380341,0.0002504833,0.0001147546,0.0001529456,0.00000822385,0.00006917527,0.0001346013,0.0001173651],"category_scores_gemma":[0.0000352398,0.000128887,0.0001443472,0.000217103,0.00009820163,0.0001513503,0.000003748446,0.0002113286,0.0003188594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003399218,"about_ca_system_score_gemma":0.0001828779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006791879,"about_ca_topic_score_gemma":0.000006180352,"domain_scores_codex":[0.9986483,0.00009518336,0.0004896742,0.000274074,0.0002965601,0.0001961991],"domain_scores_gemma":[0.9993476,0.000092836,0.00008719024,0.0002322119,0.000102748,0.0001373595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01353842,0.001774935,0.3893802,0.001030076,0.0004874263,0.001112574,0.009256989,0.0001737528,0.352449,0.003410109,0.002119771,0.2252667],"study_design_scores_gemma":[0.003222214,0.0002878856,0.9643657,0.0000763284,0.00017473,0.001509164,0.00005495644,0.00152961,0.02259727,0.0000478133,0.0059214,0.0002129659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123635,0.0001365612,0.0792966,0.0006883726,0.0001792391,0.000449992,0.00001840185,0.0002219045,0.006645407],"genre_scores_gemma":[0.9923139,0.00186318,0.003479648,0.0008840744,0.0001571674,0.00003371936,0.0003679422,0.00002515586,0.0008751616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5749854,"threshold_uncertainty_score":0.525586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04646063320025037,"score_gpt":0.3518882482798001,"score_spread":0.3054276150795497,"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."}}