{"id":"W3213930818","doi":"10.1089/bio.2021.0084","title":"What Do Biomedical Researchers Want from Biobanks? Results of an Online Survey","year":2021,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control","funders":"","keywords":"Biobank; Demographics; Sample (material); Scope (computer science); Government (linguistics); Likert scale; Data collection; Data science; Medical education; Medicine; Computer science; Psychology; Bioinformatics; Demography; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006023176,0.000149853,0.0003833147,0.000189185,0.0001039325,0.0001906104,0.0002660624,0.0005364114,0.0002299021],"category_scores_gemma":[0.02477439,0.0001226883,0.0000772686,0.0008111071,0.0005845846,0.0003977036,0.0004120868,0.001009378,0.000009584482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006048123,"about_ca_system_score_gemma":0.0006429557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578032,"about_ca_topic_score_gemma":0.003360881,"domain_scores_codex":[0.9960118,0.000526526,0.0008063715,0.000676057,0.001628376,0.0003508566],"domain_scores_gemma":[0.9925863,0.004376589,0.0001716306,0.0008436411,0.001606108,0.0004157981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007511275,0.004382438,0.27631,0.0009121505,0.0004757329,0.0005821193,0.002664894,0.00000152934,0.3845151,0.00279591,0.002571523,0.3172774],"study_design_scores_gemma":[0.004618823,0.0008426066,0.9413089,0.001811464,0.00004139887,0.00001307827,0.002783743,0.001852946,0.02766271,0.01041533,0.008393798,0.0002552136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831341,0.001763811,0.00004344176,0.01391385,0.0002980315,0.0002010738,0.00046613,0.00003828391,0.0001412689],"genre_scores_gemma":[0.9776924,0.01010695,0.00649949,0.0007507305,0.0003154619,0.000004456654,0.003711715,0.00002546505,0.0008933761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6649989,"threshold_uncertainty_score":0.9834403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7332058434454419,"score_gpt":0.5728330227691011,"score_spread":0.1603728206763408,"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."}}