{"id":"W3093733794","doi":"10.1177/1177271920965522","title":"Biobanking for Cancer Biomarker Research: Issues and Solutions","year":2020,"lang":"en","type":"review","venue":"Biomarker Insights","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Biobank; Biomarker; Biomarker discovery; Precision medicine; Medicine; Cancer; Cancer biomarkers; Bioinformatics; Pathology; Biology; Internal medicine; Proteomics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003905541,0.0004253437,0.0007772255,0.0002139037,0.0003783374,0.0001461827,0.0003502693,0.000543737,0.00002191126],"category_scores_gemma":[0.0002957287,0.0003637339,0.00034916,0.0003357666,0.0002728793,0.000004537494,0.0005319415,0.0001738815,0.00001520939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008614986,"about_ca_system_score_gemma":0.0006327861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001588946,"about_ca_topic_score_gemma":0.0003308658,"domain_scores_codex":[0.9977099,0.0001985289,0.0004539124,0.0009041051,0.0002010041,0.000532596],"domain_scores_gemma":[0.9987193,0.0001869982,0.0001733068,0.000487387,0.0002200786,0.0002129813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004758506,0.00004102584,0.000003295038,0.003140687,0.0005180365,0.00001008369,0.00004349974,9.716707e-8,0.00113099,0.000641299,0.09029467,0.9041287],"study_design_scores_gemma":[0.0002666561,0.0001122305,0.00001391272,0.001360659,0.0002944878,0.00001428068,0.00001228974,0.00002574318,0.0001235142,0.0002034292,0.9971122,0.0004606207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003316567,0.9964386,0.0001874133,0.0002630422,0.0006403932,0.001198094,0.0007086389,0.00001910926,0.0005115347],"genre_scores_gemma":[0.0001091653,0.9962376,0.0004439114,0.0001053786,0.0009765085,0.0006713413,0.0007325346,0.000103154,0.0006203572],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9068175,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.257682700134496,"score_gpt":0.4361602143246908,"score_spread":0.1784775141901949,"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."}}