{"id":"W4387930839","doi":"10.1089/bio.2022.0190","title":"Biospecimen Qualification in a Clinical Biobank of Urological Diseases","year":2023,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Biobank; Biomarker discovery; Biorepository; Workflow; Context (archaeology); Biomarker; Medicine; Medical physics; Computer science; Bioinformatics; Biology; Database","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":[0.08933707,0.0008106882,0.001053565,0.003007407,0.001602639,0.003811576,0.001633362,0.001554879,0.002225758],"category_scores_gemma":[0.09689718,0.0005455503,0.0008566942,0.003279446,0.002370809,0.001602268,0.002796148,0.001317734,0.001923775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248049,"about_ca_system_score_gemma":0.005432343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402253,"about_ca_topic_score_gemma":0.001581347,"domain_scores_codex":[0.9409823,0.03402627,0.008732742,0.005086921,0.009671733,0.001500055],"domain_scores_gemma":[0.9227843,0.02611263,0.0152671,0.01878516,0.01468394,0.002366796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01286365,0.001503202,0.4633715,0.00211905,0.0006578023,0.001708745,0.01092205,0.008068842,0.1119921,0.01153078,0.01261478,0.3626475],"study_design_scores_gemma":[0.0007851723,0.008048258,0.5521958,0.001969189,0.0008308949,0.00369908,0.004919203,0.02668925,0.2741612,0.01768781,0.1084445,0.0005697598],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6171741,0.005298185,0.3491948,0.003351674,0.00088528,0.007433614,0.004252196,0.002495481,0.00991469],"genre_scores_gemma":[0.7042484,0.0009946682,0.2815713,0.00139289,0.0002739888,0.005137376,0.003500072,0.0003371097,0.002544212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08933707,"threshold_uncertainty_score":0.4724652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7818091384601079,"score_gpt":0.6197198261396243,"score_spread":0.1620893123204836,"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."}}