{"id":"W4200306143","doi":"10.1016/j.cct.2021.106655","title":"Biorepository – A key component of research studies","year":2021,"lang":"en","type":"article","venue":"Contemporary Clinical Trials","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; University of Alberta","funders":"Österreichische Krebshilfe Tirol; Österreichische Forschungsförderungsgesellschaft; Women and Children's Health Research Institute; Austrian Science Fund; Natural Science Foundation of Hubei Province; National Cancer Institute; Stollery Children’s Hospital Foundation; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Biorepository; Workflow; Standardization; Sine qua non; Translational research; Medicine; Data science; Clinical trial; Quality (philosophy); Protocol (science); Computer science; Computational biology; Bioinformatics; Biobank; Pathology; Database; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.198262,0.0002005278,0.003131438,0.0002302589,0.0001471841,0.00003489567,0.0004145459,0.0008425024,0.0001990906],"category_scores_gemma":[0.6536148,0.0001500583,0.001175146,0.0007767376,0.002841659,0.00008242241,0.0008719694,0.003986605,0.0001480015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008519224,"about_ca_system_score_gemma":0.004987681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000412817,"about_ca_topic_score_gemma":0.00001493608,"domain_scores_codex":[0.9701366,0.01830941,0.006872001,0.001097215,0.003048928,0.0005357821],"domain_scores_gemma":[0.2330932,0.7453218,0.001692429,0.003765874,0.0147212,0.001405516],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02222798,0.01422681,0.3968107,0.008058274,0.0108847,0.009904684,0.001522548,0.000001566906,0.07985575,0.07887674,0.3544406,0.02318963],"study_design_scores_gemma":[0.05871885,0.01583666,0.1281031,0.02026391,0.0009695972,0.0001823047,0.01173858,0.0001128592,0.1595723,0.3027571,0.3004138,0.001330976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628314,0.08179442,0.00009400411,0.07551772,0.005427422,0.003469321,0.00008029176,0.0001991216,0.07058623],"genre_scores_gemma":[0.972681,0.01247884,0.00181117,0.001092853,0.001445706,0.00005640859,0.00002519711,0.00003885297,0.01036997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7370435,"threshold_uncertainty_score":0.999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9803820864916953,"score_gpt":0.7954294874289627,"score_spread":0.1849525990627326,"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."}}