{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07000536,0.000148794,0.000776548,0.00006764364,0.0005341026,0.00007289924,0.0003986823,0.0007314146,0.001841162],"category_scores_gemma":[0.05276847,0.0000870029,0.0005239617,0.0008222066,0.002171945,0.00005318489,0.000282314,0.003684665,0.0001127508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699473,"about_ca_system_score_gemma":0.003538032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166622,"about_ca_topic_score_gemma":0.0001214007,"domain_scores_codex":[0.9911017,0.003095371,0.00221223,0.0006912446,0.002294373,0.000605098],"domain_scores_gemma":[0.9770444,0.02007104,0.0003758701,0.0003547605,0.0007085197,0.001445433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008575647,0.0005202483,0.628396,0.0008949485,0.0007693908,0.0001431073,0.0004238693,0.0004499287,0.001116681,0.003309738,0.2094986,0.1459019],"study_design_scores_gemma":[0.006483687,0.0005117799,0.5642896,0.0002315308,0.00008441857,0.00001842277,0.00008670185,0.001838818,0.00001609492,0.008364995,0.4178629,0.0002110745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4095637,0.003872442,0.0004144426,0.5810133,0.001553191,0.001684119,0.00004995885,0.0001663825,0.001682506],"genre_scores_gemma":[0.9566061,0.004808765,0.00009309572,0.02299153,0.01509213,0.00006775026,0.00002656202,0.0000281883,0.0002858664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5580217,"threshold_uncertainty_score":0.9990713,"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."}}