{"id":"W3109580766","doi":"10.1158/1557-3265.covid-19-po-065","title":"Abstract PO-065: National Clinical Trials Network biobanking during the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Biobank; Receipt; Staffing; Clinical trial; Pandemic; Medicine; Tissue bank; Family medicine; Coronavirus disease 2019 (COVID-19); Business; Disease; Pathology; Bioinformatics; Nursing; Accounting; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0811769,0.0004529484,0.0005006946,0.001304884,0.004693102,0.008828145,0.002856409,0.004508166,0.03396269],"category_scores_gemma":[0.1076704,0.0006595247,0.0006363261,0.001472387,0.001568827,0.004648363,0.00647802,0.007873964,0.009140226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01146189,"about_ca_system_score_gemma":0.03586437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373264,"about_ca_topic_score_gemma":0.02458983,"domain_scores_codex":[0.9732807,0.01339504,0.002045197,0.002266675,0.006045917,0.00296649],"domain_scores_gemma":[0.89372,0.02650637,0.007268559,0.01416007,0.01889102,0.03945403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009033091,0.0002898746,0.014167,0.0002207504,0.00004601576,0.0006031651,0.0008495788,0.001142522,0.001012084,0.01377413,0.871991,0.09500062],"study_design_scores_gemma":[0.001057329,0.0007740569,0.04402001,0.0007646446,0.00003858786,0.0005849299,0.002488919,0.004756071,0.001374493,0.01521648,0.9287839,0.0001406513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06245628,0.003045426,0.01560754,0.6190583,0.01195671,0.005933676,0.01823836,0.005180743,0.258523],"genre_scores_gemma":[0.4972787,0.003883552,0.06317388,0.2721631,0.01098283,0.01085357,0.04276574,0.002947765,0.09595087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0811769,"threshold_uncertainty_score":0.4293096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.857763410917281,"score_gpt":0.7006660696538014,"score_spread":0.1570973412634796,"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."}}