{"id":"W2932232377","doi":"10.1002/dta.2600","title":"Alterations in phospholipid profiles of erythrocytes deep‐frozen without cryoprotectants","year":2019,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Phospholipid; Cryoprotectant; Chemistry; Chromatography; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Red blood cell; Cryopreservation; Erythrocyte membrane; Mass spectrometry; Lipid bilayer; Membrane; Lipidomics; Biochemistry; Biology; Cell biology","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":[0.0001698086,0.0001099745,0.0004574139,0.0003168116,0.00004628767,0.000009446508,0.00003683174,0.00004968722,0.0001545808],"category_scores_gemma":[0.0002980864,0.00009051862,0.00008686688,0.001004981,0.00005167332,0.00004685019,0.00002513173,0.0001301304,0.00001592537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001509189,"about_ca_system_score_gemma":0.00003850372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003733419,"about_ca_topic_score_gemma":0.00008485242,"domain_scores_codex":[0.9991551,0.00004840426,0.0002811782,0.0002549667,0.0001120996,0.0001482402],"domain_scores_gemma":[0.9993263,0.0001846529,0.0001198943,0.0002003956,0.0001111119,0.00005768628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006376075,0.00007638066,0.9547073,0.00009382073,0.0001745276,0.000003310239,0.0004383874,0.0004496754,0.0416133,0.0000236322,0.0000172633,0.002338701],"study_design_scores_gemma":[0.001651881,0.0002670466,0.8769893,0.0002587284,0.0009132759,0.00002376202,0.0008697903,0.1028524,0.01563753,0.0002104344,0.00008058213,0.0002452662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975271,0.0002506038,0.0001888315,0.0001172469,0.00003978197,0.000183775,0.000006755984,0.00003926487,0.001646701],"genre_scores_gemma":[0.9937514,0.00002513632,0.005290761,0.0001241007,0.00004993693,0.00001370892,0.00003048603,0.000008983357,0.0007055093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024027,"threshold_uncertainty_score":0.3691242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772869843168943,"score_gpt":0.2627236581808102,"score_spread":0.2449949597491208,"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."}}