{"id":"W2517634162","doi":"10.1016/j.exphem.2016.06.176","title":"Candidate biomarkers of transformed mesenchymal stromal/stem cells by quantitative proteomics and glycoproteomics","year":2016,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Cell biology; Proteomics; Quantitative proteomics; Mesenchymal stem cell; Biology; Signal transduction; Stromal cell; Cancer research; Biochemistry","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":[0.0003784061,0.0005165982,0.0004087868,0.001200336,0.0002260261,0.0009410864,0.0002469746,0.0004472736,0.000673213],"category_scores_gemma":[0.0004141481,0.0001840632,0.0003114746,0.0007572233,0.0002159126,0.0004868662,0.0002581297,0.0004936624,0.000268056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002968651,"about_ca_system_score_gemma":0.0002788194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004762341,"about_ca_topic_score_gemma":0.0006898136,"domain_scores_codex":[0.9998094,0.00004108581,0.00001232211,0.0000370658,0.0000666514,0.0000335489],"domain_scores_gemma":[0.9998622,0.00002510319,0.00003931883,0.000007547401,0.00004535849,0.00002043744],"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":[0.0005472407,0.00007496258,0.006028377,0.0001229174,0.00006097385,0.00007892875,0.00003476253,0.000332049,0.9819434,0.000322823,0.0001698394,0.01028382],"study_design_scores_gemma":[0.00005099978,0.0004476982,0.04937187,0.00002601135,0.0002110206,0.0005410718,0.0001854018,0.01289389,0.9316286,0.001365343,0.003242826,0.00003516977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715233,0.004916104,0.01926334,0.0002786171,0.00006507797,0.0001172143,0.001927135,0.0001355182,0.001773654],"genre_scores_gemma":[0.971826,0.001992815,0.02294336,0.0001945763,0.00004241732,0.0001196743,0.001547017,0.00002811984,0.001306008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001200336,"threshold_uncertainty_score":0.002252102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478830317757976,"score_gpt":0.287019769939685,"score_spread":0.2722314667621052,"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."}}