{"id":"W3123409937","doi":"10.1021/acs.jproteome.0c00629","title":"MicroPOTS Analysis of Barrett’s Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Pacific Northwest National Laboratory; Office of Science; Ministerstvo Zdravotnictví Ceské Republiky; Biological and Environmental Research; Fundacja na rzecz Nauki Polskiej; European Commission; European Regional Development Fund; Genome British Columbia; Genome Canada; Infrastruktura PL-Grid; U.S. Department of Energy","keywords":"Proteomics; S100A9; Cell culture; Computational biology; Population; Biology; Chemistry; Molecular biology; Biochemistry; Medicine; Immunology; Inflammation; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001765317,0.0005747281,0.0003475177,0.0005365689,0.0003567316,0.0003684045,0.000238403,0.0004367882,0.001294726],"category_scores_gemma":[0.0001139573,0.0001676027,0.0004010941,0.0003843022,0.0002523409,0.0002838468,0.0002557208,0.0005151905,0.0005975643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656066,"about_ca_system_score_gemma":0.0001490251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009518412,"about_ca_topic_score_gemma":0.001998918,"domain_scores_codex":[0.999816,0.00001368983,0.00001618386,0.00005769226,0.00006758232,0.00002887455],"domain_scores_gemma":[0.9998611,0.00004114942,0.00002991004,0.00001677706,0.00002858296,0.00002244573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003228727,0.000006784561,0.0001283838,0.00001462804,0.000004010189,0.00003066468,0.000009175266,0.00001452021,0.9994641,0.0000161821,0.00001776758,0.0002614399],"study_design_scores_gemma":[0.000002057999,0.00007196454,0.01322244,0.000004787829,0.00002047692,0.000236447,0.00005818836,0.0006360822,0.9845999,0.00002267849,0.001117902,0.000007025496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703699,0.001508095,0.0213508,0.0001500038,0.0001110602,0.00007849432,0.004342791,0.0003023902,0.001786408],"genre_scores_gemma":[0.9575391,0.001531757,0.02567353,0.0001578462,0.000029759,0.0002494405,0.006970441,0.0001280645,0.007720131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001294726,"threshold_uncertainty_score":0.004331291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04058788297702329,"score_gpt":0.3537481405908043,"score_spread":0.313160257613781,"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."}}