{"id":"W4385680796","doi":"10.5489/cuaj.8322","title":"Existing trends and applications of artificial intelligence in urothelial cancer","year":2023,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Vector Institute; Western University; The Wilson Centre; Public Health Ontario; University of Toronto","funders":"University of Toronto","keywords":"Computer science; Scopus; Artificial intelligence; Feature selection; MEDLINE; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.1001703,0.0006792487,0.002536647,0.03016747,0.0009680497,0.010595,0.002781581,0.002659979,0.004646874],"category_scores_gemma":[0.2204953,0.0009820557,0.0031605,0.03544815,0.004966546,0.0084447,0.003013306,0.002346128,0.000512305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009311006,"about_ca_system_score_gemma":0.02047518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007830586,"about_ca_topic_score_gemma":0.0152856,"domain_scores_codex":[0.9314575,0.02838027,0.0208906,0.004806683,0.01354935,0.0009155694],"domain_scores_gemma":[0.4146242,0.512397,0.03943541,0.006570704,0.02566436,0.001308331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003957479,0.00004754986,0.0220405,0.3619416,0.002829348,0.0002261386,0.00327551,0.0005665711,0.0004176233,0.0145454,0.008082652,0.5856314],"study_design_scores_gemma":[0.00009036422,0.0003345229,0.04769148,0.7637203,0.006112518,0.001362692,0.004841075,0.0008037715,0.0005316364,0.02365518,0.1507119,0.0001445244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001525696,0.9889941,0.0006160156,0.007007512,0.0002809704,0.00004508743,0.0001573235,0.00001007586,0.00136326],"genre_scores_gemma":[0.0324792,0.9588061,0.003510586,0.003840439,0.0007788435,0.0001822373,0.0002600014,0.00001564067,0.0001269611],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1001703,"threshold_uncertainty_score":0.5297575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398561447352891,"score_gpt":0.3196470909801658,"score_spread":0.2756614765066369,"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."}}