{"id":"W2553970393","doi":"10.1016/j.cryobiol.2016.09.109","title":"From nature to bedside: Whole blood preservation for cancer diagnostics","year":2016,"lang":"en","type":"article","venue":"Cryobiology","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Medicine; Intensive care medicine; Whole blood; Environmental science; Internal medicine","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":[0.00003689212,0.00009613969,0.0001830512,0.00002742735,0.00003532561,0.00000335179,0.00005695074,0.0002223423,0.0002645099],"category_scores_gemma":[0.0004401088,0.000055791,0.00004852142,0.00004212097,0.00004315741,0.00002363904,0.00003020395,0.00006950978,0.00006314196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004229702,"about_ca_system_score_gemma":0.00005220022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008327594,"about_ca_topic_score_gemma":0.0001095255,"domain_scores_codex":[0.9994048,0.00001507019,0.0001199647,0.0002344787,0.00004074093,0.0001848721],"domain_scores_gemma":[0.9991997,0.0003918875,0.00003484206,0.0001961934,0.0000941524,0.00008318644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004176829,0.0004559061,0.2182926,0.00005991564,0.0003743537,0.00003608353,0.0004104738,0.000001325804,0.4397663,0.001679254,0.3084172,0.0300889],"study_design_scores_gemma":[0.004732538,0.001148447,0.06187696,0.0002853451,0.0003255892,0.000009504015,0.00008257052,0.000003044039,0.1040991,0.002071994,0.8251898,0.0001751395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300733,0.001800394,0.0003964086,0.06600255,0.0005437073,0.0005188129,0.0003803901,0.00004782519,0.0002366719],"genre_scores_gemma":[0.9815824,0.0006215782,0.004264066,0.004845952,0.00148641,0.0003990574,0.0002811539,0.00002463524,0.006494763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5167726,"threshold_uncertainty_score":0.2896197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756003475330267,"score_gpt":0.326312207283579,"score_spread":0.3087521725302764,"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."}}