{"id":"W2953034943","doi":"10.1089/bio.2018.0120","title":"Biospecimen Complexity and the Evolution of Biobanks","year":2019,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Biobank; Quality (philosophy); Data science; Computer science; Focus (optics); Process (computing); Sustainability; Biorepository; Bioinformatics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.002048882,0.00006833582,0.0001954868,0.00006885739,0.00007423745,0.00002487734,0.00009175177,0.0001498908,0.0001219269],"category_scores_gemma":[0.001048979,0.00004146833,0.000039895,0.0001875679,0.0006929418,0.0000698931,0.0001731841,0.0003367244,0.00001089997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878017,"about_ca_system_score_gemma":0.00006854524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785782,"about_ca_topic_score_gemma":0.00006908141,"domain_scores_codex":[0.9989364,0.00006339225,0.0002693522,0.0001979194,0.0004106401,0.000122271],"domain_scores_gemma":[0.9983668,0.0009738919,0.00009781316,0.0002714053,0.0002421908,0.00004790162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000477125,0.00003887509,0.4222356,0.0002691246,0.00003217241,4.588559e-7,0.0001764392,1.274819e-7,0.01786333,0.5569793,0.00006584142,0.001861563],"study_design_scores_gemma":[0.003275586,0.0001883182,0.8871685,0.0002227773,0.00002877866,0.000006715107,0.0003761722,0.002568663,0.001857043,0.1030188,0.00121022,0.00007845778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826717,0.000776765,0.0001097163,0.009750179,0.00006661636,0.0004383745,0.000005131029,0.0000184549,0.006163099],"genre_scores_gemma":[0.9975231,0.0003322993,0.0008040562,0.0003631781,0.00005440342,0.000003725102,0.000006805274,0.00000554456,0.0009069274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4649329,"threshold_uncertainty_score":0.2553173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3483483197773791,"score_gpt":0.475474706973993,"score_spread":0.1271263871966139,"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."}}