{"id":"W2166866455","doi":"10.1002/dta.1342","title":"Alterations of the erythrocyte membrane proteome and cytoskeleton network during storage – a possible tool to identify autologous blood transfusion","year":2012,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat de Catalunya; World Anti-Doping Agency","keywords":"Proteome; Blood preservation; Cytoskeleton; Blood transfusion; Erythrocyte membrane; Medicine; Chemistry; Computational biology; Membrane; Immunology; Biology; Bioinformatics; Biochemistry; Andrology; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829336,0.0001283685,0.0003674442,0.0001550047,0.0003335167,0.00001894404,0.00004375396,0.00005656795,0.00002957675],"category_scores_gemma":[0.0002150858,0.00009085737,0.0001127533,0.001097223,0.0000595465,0.0000749662,0.00005202853,0.0001471634,0.000001842845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001168181,"about_ca_system_score_gemma":0.00002617684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360077,"about_ca_topic_score_gemma":0.00004341448,"domain_scores_codex":[0.9990329,0.00009403285,0.0002695336,0.0002229397,0.0001354124,0.0002451593],"domain_scores_gemma":[0.9993383,0.0001338368,0.000102077,0.00022966,0.00007609725,0.000119995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009429451,0.0001599635,0.343674,0.0002977174,0.0005596469,0.000007356059,0.001733085,0.002706213,0.6488581,0.00002657945,0.00004571919,0.00183731],"study_design_scores_gemma":[0.0007919226,0.0001121247,0.9750057,0.0001639501,0.002474547,0.0001129874,0.0001260784,0.002866486,0.01812095,0.00002660131,0.00004238754,0.0001562193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998386,0.0003042284,0.0004048877,0.0003580652,0.00007799923,0.0002819758,0.000007235421,0.00005235388,0.0001272375],"genre_scores_gemma":[0.9963067,0.00004910801,0.002763271,0.0001546575,0.000221934,0.00002227417,0.000009171191,0.00001047832,0.0004623973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6313317,"threshold_uncertainty_score":0.3705056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564267573396873,"score_gpt":0.2647009888602337,"score_spread":0.2490583131262649,"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."}}