{"id":"W2060251439","doi":"10.1097/00007890-201007272-00020","title":"ASSIGNING A PROBABILITY OF TCMR TO KIDNEY TRANSPLANT BIOPSIES.","year":2010,"lang":"en","type":"article","venue":"Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kidney transplant; Medicine; Renal transplant; Kidney transplantation; Kidney; Internal medicine; Urology","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":[0.01175915,0.0006664723,0.001022933,0.002369242,0.0009345711,0.001427872,0.001261317,0.002459573,0.03641259],"category_scores_gemma":[0.07867315,0.000459731,0.00154141,0.001389815,0.0009290516,0.001068305,0.001066661,0.001993004,0.003331499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007007135,"about_ca_system_score_gemma":0.001313078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431883,"about_ca_topic_score_gemma":0.004591333,"domain_scores_codex":[0.9929057,0.004089929,0.0005686309,0.001173608,0.0009223138,0.0003397363],"domain_scores_gemma":[0.9722516,0.0197334,0.002693636,0.001835998,0.002116287,0.001369125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009778628,0.0006139772,0.5801713,0.0008405332,0.0007740003,0.0007076488,0.0002929324,0.01283666,0.001426324,0.01122225,0.0831111,0.2982245],"study_design_scores_gemma":[0.002789741,0.004022022,0.5030663,0.001743826,0.002742683,0.01360633,0.001344918,0.2813078,0.006958991,0.119161,0.06276704,0.0004892992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6002797,0.008408158,0.2211032,0.03031461,0.005419293,0.007710085,0.05625758,0.001700631,0.06880672],"genre_scores_gemma":[0.8802906,0.001883552,0.09199729,0.002369502,0.001463611,0.00207025,0.008393097,0.000129305,0.01140284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03641259,"threshold_uncertainty_score":0.1218123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160284658293147,"score_gpt":0.2928363063767839,"score_spread":0.2712334597938524,"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."}}