{"id":"W2121114990","doi":"10.1373/clinchem.2014.224469","title":"Critical Issues in International Biobanking","year":2014,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Biobank; Medicine; Computer science; Computational biology; Biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005072981,0.00009562228,0.0003252826,0.00002416628,0.00002450728,0.00003113757,0.0003254296,0.0006163814,0.001234593],"category_scores_gemma":[0.1953975,0.00008677256,0.0001567955,0.0001046258,0.0006166607,0.00004080047,0.0002237247,0.002586075,0.000188217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000050571,"about_ca_system_score_gemma":0.00014812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007109822,"about_ca_topic_score_gemma":0.00000500543,"domain_scores_codex":[0.9977756,0.00007310148,0.0008030097,0.000441662,0.0006397335,0.0002669472],"domain_scores_gemma":[0.9815243,0.01724805,0.00005218688,0.0005174284,0.0003598265,0.0002981337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003034675,0.001057784,0.9684149,0.0004978227,0.00004151099,0.0001305374,0.00003154069,7.047543e-7,0.002832743,0.009534976,0.003029702,0.0141243],"study_design_scores_gemma":[0.0098496,0.0007913295,0.2812576,0.003667173,0.0001006291,0.0001198079,0.0002857049,0.006755976,0.04740525,0.3516732,0.2971583,0.000935453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7991595,0.000120202,0.0001473294,0.06336152,0.0005831261,0.00008427178,0.000003057293,0.00007735004,0.1364637],"genre_scores_gemma":[0.9883112,0.0002765396,0.002327374,0.001956383,0.001738309,0.000007455499,0.00001269342,0.00001637162,0.005353647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6871573,"threshold_uncertainty_score":0.999715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4583656085830735,"score_gpt":0.6718129418573731,"score_spread":0.2134473332742995,"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."}}