{"id":"W4289109729","doi":"10.3390/curroncol29080430","title":"Integrative Multi-Omics Analysis for the Determination of Non-Muscle Invasive vs. Muscle Invasive Bladder Cancer: A Pilot Study","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Southeast University; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province","keywords":"Metabolome; Omics; Bladder cancer; Proteome; Medicine; Metabolomics; Urine; Biomarker; Extracellular vesicles; Biomarker discovery; Internal medicine; Bioinformatics; Oncology; Cancer; Biology; Proteomics; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003666629,0.001095603,0.001451256,0.001997194,0.0009363854,0.001927112,0.0006237488,0.000674886,0.001610271],"category_scores_gemma":[0.002920776,0.0003389668,0.002027341,0.002207184,0.0004643354,0.0005530279,0.001819243,0.0009299309,0.0003858568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006341028,"about_ca_system_score_gemma":0.001171444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957327,"about_ca_topic_score_gemma":0.002894706,"domain_scores_codex":[0.9985828,0.0004351598,0.0001222104,0.0004008931,0.0002828811,0.0001760497],"domain_scores_gemma":[0.9982243,0.0003882847,0.0002835289,0.0003234138,0.0005319841,0.0002483598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006277328,0.001476273,0.6887512,0.001800943,0.003995269,0.0009099881,0.001074914,0.002445796,0.1866008,0.0008190686,0.003339858,0.1025086],"study_design_scores_gemma":[0.0002514052,0.002169326,0.9444352,0.0002334164,0.002218857,0.001340082,0.0008563755,0.01358481,0.02328872,0.001034125,0.01046097,0.0001266483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575709,0.005420805,0.02521737,0.0005604678,0.0001247013,0.0008818812,0.008462759,0.0002720336,0.001489238],"genre_scores_gemma":[0.9373315,0.001735988,0.04446453,0.0006509652,0.0001533875,0.001085165,0.01351216,0.0001173043,0.0009489549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003666629,"threshold_uncertainty_score":0.01939118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313193660399825,"score_gpt":0.4181157041606152,"score_spread":0.2867963381206327,"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."}}