{"id":"W4292243081","doi":"10.1016/j.kint.2022.06.016","title":"The windows of opportunity","year":2022,"lang":"en","type":"letter","venue":"Kidney International","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Listing (finance); Medicine; Waiting list; Kidney transplantation; Intensive care medicine; Kidney transplant; Selection (genetic algorithm); Transplantation; Process (computing); Computer science; Surgery; Artificial intelligence; Business","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":[0.007842313,0.001147209,0.002073185,0.001071016,0.0141089,0.01411468,0.002558768,0.1103174,0.01595381],"category_scores_gemma":[0.03601036,0.001176893,0.001698872,0.0006741356,0.01189259,0.0124613,0.007972073,0.10637,0.005098258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007485975,"about_ca_system_score_gemma":0.01519726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231337,"about_ca_topic_score_gemma":0.02737341,"domain_scores_codex":[0.9904754,0.002513679,0.0005507273,0.001312978,0.002527103,0.002620194],"domain_scores_gemma":[0.9809656,0.008115762,0.0008870668,0.0006169525,0.001559643,0.007854915],"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":[0.00004252882,0.00004138677,0.0004280125,0.00003424294,0.00002186432,0.001741178,0.0005126935,0.00004376378,0.0001191209,0.01619093,0.9747423,0.006082122],"study_design_scores_gemma":[0.00007404024,0.00004322652,0.0007558719,0.0003299368,0.00002094445,0.001078144,0.002246,0.0002266941,0.00009434843,0.03793873,0.9571019,0.00009021931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000236052,0.001026027,0.00004486854,0.9854991,0.009520558,0.000004793912,0.00001206806,0.000008896862,0.003647602],"genre_scores_gemma":[0.003251153,0.0005799388,0.0001064382,0.9730527,0.01592654,0.00002485659,0.000007309819,0.00001544058,0.007035576],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1103174,"threshold_uncertainty_score":0.05431479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621570906343766,"score_gpt":0.3082167994739806,"score_spread":0.2720010904105429,"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."}}