{"id":"W2335848240","doi":"10.1039/9781849734363-00271","title":"Discovery and Validation Case Studies, Recommendations: A Pipeline that Integrates the Discovery and Verification Studies of Urinary Protein Biomarkers Reveals Candidate Markers for Bladder Cancer","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Biomarker discovery; Biomarker; Bladder cancer; Mass spectrometry; Cancer; Computational biology; Proteomics; Cancer biomarkers; Medicine; Internal medicine; Chemistry; Biology; Chromatography; Gene","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":[0.01890408,0.002285045,0.00130678,0.003579209,0.001279382,0.00623252,0.003914162,0.001887844,0.02014722],"category_scores_gemma":[0.02712304,0.00153289,0.001618594,0.002808605,0.001058142,0.004466357,0.003986435,0.002233161,0.02082198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134294,"about_ca_system_score_gemma":0.006801083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003738408,"about_ca_topic_score_gemma":0.008068011,"domain_scores_codex":[0.9938908,0.001817655,0.0005672415,0.0008402632,0.002687322,0.0001967372],"domain_scores_gemma":[0.9845212,0.006034184,0.0009472359,0.00196956,0.005770629,0.0007571292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001672691,0.0002534065,0.002595682,0.001148576,0.00008791906,0.001357594,0.00136109,0.003046441,0.01256075,0.01472353,0.2008124,0.7618854],"study_design_scores_gemma":[0.0001144834,0.0003358431,0.00491628,0.001659127,0.0002106755,0.002444822,0.001390171,0.02600042,0.02655254,0.05011914,0.8860536,0.0002029961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00959044,0.00566054,0.8631781,0.01080793,0.001195652,0.00542529,0.005813076,0.0238311,0.07449788],"genre_scores_gemma":[0.0118186,0.003312967,0.9302557,0.001541058,0.0002747606,0.001530988,0.005719328,0.002641574,0.04290507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02014722,"threshold_uncertainty_score":0.09997553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05372447051847075,"score_gpt":0.338869154083354,"score_spread":0.2851446835648833,"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."}}