{"id":"W2905962076","doi":"10.1089/bio.2018.0099","title":"Research Perspective on Utilizing and Valuing Tumor Biobanks","year":2018,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biobank; Value (mathematics); Perspective (graphical); Engineering ethics; Business; Computer science; Bioinformatics; Engineering; 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":[0.0004530348,0.0001067024,0.00008304694,0.0001076418,0.0003273323,0.0001139891,0.0000963938,0.00008364672,0.00001504692],"category_scores_gemma":[0.0002582731,0.0001006078,0.00002212136,0.0001399018,0.0002476816,0.000007014601,0.0002056036,0.0001031422,0.000007454159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003532171,"about_ca_system_score_gemma":0.00004523577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002401505,"about_ca_topic_score_gemma":0.0001307779,"domain_scores_codex":[0.9990479,0.00004722928,0.0001215988,0.0003920665,0.0001562748,0.0002349514],"domain_scores_gemma":[0.999354,0.0000430094,0.00004191677,0.0002015321,0.0002903236,0.00006921413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004112511,0.0000913773,0.02634571,0.0000418929,0.00005944086,0.000006774544,0.0008716878,0.000002265822,0.8896831,0.05869348,0.005714927,0.01807808],"study_design_scores_gemma":[0.002414417,0.003502415,0.1588215,0.0002740182,0.00003982079,0.00005144319,0.007706634,0.002016631,0.5649464,0.01059361,0.2486321,0.0010009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910506,0.001087738,0.00009910618,0.0007407598,0.0001252157,0.0001542041,0.00001227928,0.00001230243,0.006717769],"genre_scores_gemma":[0.9975964,0.0003960064,0.0004991795,0.0006961821,0.0006364846,0.000009423476,0.00001501397,0.00001458766,0.0001366558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3247367,"threshold_uncertainty_score":0.4102666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05948430984296348,"score_gpt":0.3604214142215494,"score_spread":0.300937104378586,"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."}}