{"id":"W4303633804","doi":"10.1111/bju.15916","title":"The Uniform grading tooL for flexIble ureterorenoscoPes (TULIP‐tool): a Delphi consensus project on standardised evaluation of flexible ureterorenoscopes","year":2022,"lang":"en","type":"review","venue":"British Journal of Urology","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; University of British Columbia","funders":"","keywords":"Delphi; Delphi method; Grading (engineering); Medicine; Relevance (law); Scope (computer science); Consensus conference; Computer science; Artificial intelligence; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4094146,0.002261513,0.002722506,0.01358733,0.003470493,0.005378126,0.005077618,0.003342394,0.003499032],"category_scores_gemma":[0.3405229,0.00177005,0.004779864,0.006872377,0.006025858,0.006820029,0.01735171,0.003910315,0.00116574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01009079,"about_ca_system_score_gemma":0.04136699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618098,"about_ca_topic_score_gemma":0.002950385,"domain_scores_codex":[0.4877719,0.4098055,0.06008244,0.005485357,0.03113765,0.005717178],"domain_scores_gemma":[0.7841336,0.1006159,0.01487838,0.01279749,0.08319768,0.004377006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001590212,0.0005224835,0.0119429,0.03652672,0.0006534765,0.001065456,0.1051641,0.006401075,0.01142964,0.0310017,0.03960001,0.7541023],"study_design_scores_gemma":[0.002729595,0.007275129,0.07030963,0.1340214,0.002613732,0.006220541,0.1711306,0.04028144,0.0281671,0.09816474,0.4363836,0.002702555],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.126439,0.01119977,0.6520611,0.01479137,0.002910291,0.1542365,0.001923322,0.001188257,0.03525037],"genre_scores_gemma":[0.2112091,0.004449906,0.6811332,0.001638932,0.0002417013,0.09729017,0.001451391,0.0003238549,0.002261695],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4094146,"threshold_uncertainty_score":0.728297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125961360572892,"score_gpt":0.3995862145304441,"score_spread":0.2869900784731549,"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."}}