{"id":"W4390117786","doi":"10.2196/preprints.48892","title":"NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Preprint; Transplantation; Pooling; Machine learning; Artificial intelligence; Algorithm; Data mining; Medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07740196,0.002395836,0.002520103,0.003140206,0.004170575,0.005974831,0.004543614,0.003282947,0.0947886],"category_scores_gemma":[0.1223203,0.001591505,0.003393934,0.004241839,0.002537421,0.001831908,0.003922762,0.003779865,0.02688093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02071837,"about_ca_system_score_gemma":0.08429092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07909377,"about_ca_topic_score_gemma":0.09636305,"domain_scores_codex":[0.9621272,0.02000492,0.004890651,0.002910906,0.008113296,0.00195299],"domain_scores_gemma":[0.8940102,0.01989261,0.009025071,0.01735605,0.0543142,0.005401854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04241068,0.002884237,0.006734717,0.01795353,0.002099146,0.0002772559,0.001259571,0.00861231,0.002110573,0.01595812,0.7560353,0.1436646],"study_design_scores_gemma":[0.04518322,0.004536618,0.0273236,0.02596724,0.001508263,0.0002451476,0.0009034666,0.004538572,0.003884835,0.008331283,0.8772083,0.000369389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.005490837,0.002352005,0.02719568,0.003241689,0.00180705,0.8395671,0.0939407,0.0009333185,0.02547175],"genre_scores_gemma":[0.007002737,0.0007897196,0.02151667,0.001725596,0.000219914,0.9344627,0.02900204,0.0001996067,0.005081149],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0947886,"threshold_uncertainty_score":0.4093456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09871548964788877,"score_gpt":0.4151200464414077,"score_spread":0.3164045567935189,"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."}}