{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139133,0.0003293542,0.0003562548,0.0003859363,0.0004686961,0.001820698,0.0005203702,0.0007254881,0.004558299],"category_scores_gemma":[0.001003278,0.00017001,0.0002431835,0.0003135184,0.0008800099,0.001564247,0.0009218907,0.002109396,0.001260609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360701,"about_ca_system_score_gemma":0.0006637485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003400737,"about_ca_topic_score_gemma":0.0007973998,"domain_scores_codex":[0.9996454,0.0001284905,0.00001538551,0.00004842379,0.0001309743,0.00003133717],"domain_scores_gemma":[0.9994882,0.0001795056,0.00005964261,0.00007731131,0.00009555226,0.00009967209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001349024,0.0002839837,0.01126582,0.0008960643,0.000103431,0.001004782,0.0008002797,0.0006999391,0.1935237,0.02272952,0.08527218,0.6820713],"study_design_scores_gemma":[0.0001181849,0.001939716,0.0231153,0.001045713,0.0002996655,0.0154253,0.001374662,0.003786391,0.2734225,0.05113786,0.628205,0.0001298178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1718253,0.4017495,0.24628,0.08299171,0.01468443,0.000235604,0.0007396036,0.001718095,0.07977583],"genre_scores_gemma":[0.5994792,0.1370955,0.181264,0.02736894,0.009567844,0.000194182,0.0006860492,0.0007497739,0.04359457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004558299,"threshold_uncertainty_score":0.01524901,"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."}}