{"id":"W2508835981","doi":"10.1158/1078-0432.ccr-16-1406","title":"Biospecimen Complexity—the Next Challenge for Cancer Research Biobanks?","year":2016,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Biobank; Translational research; Standardization; Medicine; Quality (philosophy); Data science; Medical research; Computer science; Bioinformatics; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3029679,0.0008652931,0.004298151,0.008672152,0.004342926,0.02547302,0.006923691,0.005987611,0.01733462],"category_scores_gemma":[0.4944288,0.001569032,0.003707617,0.01634279,0.01148622,0.04970108,0.01418095,0.01252849,0.00437951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01507414,"about_ca_system_score_gemma":0.06574701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006814841,"about_ca_topic_score_gemma":0.00777661,"domain_scores_codex":[0.796786,0.1320416,0.02978091,0.009415923,0.02746814,0.004507494],"domain_scores_gemma":[0.2107551,0.5578634,0.069221,0.06786326,0.07069986,0.02359741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001797181,0.0002310078,0.02324504,0.02502429,0.001459376,0.0005481332,0.007161294,0.002224305,0.002090286,0.1849445,0.2057743,0.5455003],"study_design_scores_gemma":[0.000363194,0.0004313788,0.01842889,0.03485946,0.0007716629,0.001143609,0.009977082,0.001941852,0.001498685,0.3000068,0.630235,0.0003423697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01073638,0.07255955,0.02574844,0.8717071,0.006771067,0.0006694326,0.002986941,0.000375986,0.008445003],"genre_scores_gemma":[0.23578,0.1131903,0.2549575,0.3382357,0.03440515,0.0056848,0.01001281,0.001254705,0.006479037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3029679,"threshold_uncertainty_score":0.8595647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9717589302380174,"score_gpt":0.7845106315198176,"score_spread":0.1872482987181998,"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."}}