{"id":"W3008524410","doi":"10.1111/ajt.15833","title":"Use of biomarkers to improve immunosuppressive drug development and outcomes in renal organ transplantation: A meeting report","year":2020,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Drug development; Intensive care medicine; Clinical trial; Biomarker; Transplantation; Regulatory science; Food and drug administration; Drug; Internal medicine; Pharmacology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04707221,0.001646484,0.0006895317,0.00137471,0.001920721,0.006501516,0.002100929,0.006480156,0.008167937],"category_scores_gemma":[0.02081698,0.000532941,0.001975811,0.0008104719,0.001000685,0.005210715,0.007822655,0.01053576,0.002934346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005674579,"about_ca_system_score_gemma":0.0142089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003170613,"about_ca_topic_score_gemma":0.006773311,"domain_scores_codex":[0.9842995,0.006623969,0.001002333,0.001011771,0.005190436,0.001872015],"domain_scores_gemma":[0.9801399,0.003799869,0.001277117,0.0004591527,0.009059439,0.005264553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003492687,0.0006445489,0.00256369,0.001273837,0.00007694522,0.0005138172,0.0008341343,0.0005240407,0.002907686,0.005620547,0.7750584,0.2096331],"study_design_scores_gemma":[0.0001771596,0.0008178154,0.00461524,0.002378303,0.0001098585,0.000281702,0.001208868,0.0007458393,0.003793847,0.004677193,0.9810885,0.0001055524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01075729,0.1076808,0.01083974,0.7679764,0.05407071,0.001949889,0.001372942,0.0003130171,0.04503913],"genre_scores_gemma":[0.1677958,0.2165249,0.05697961,0.3025383,0.0679092,0.004966098,0.006575611,0.000628319,0.1760821],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04707221,"threshold_uncertainty_score":0.2489446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783591806066212,"score_gpt":0.277612782849359,"score_spread":0.2597768647886969,"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."}}