{"id":"W3084390693","doi":"10.1371/journal.pone.0237981","title":"Cancer proteome and metabolite changes linked to SHMT2","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; SickKids Foundation; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"Garron Family Cancer Centre; Scheme for Promotion of Academic and Research Collaboration; Hospital for Sick Children; Genome Canada","keywords":"Serine hydroxymethyltransferase; Cell growth; Gene knockdown; Biology; Glycine; Biochemistry; In vivo; Cell biology; Molecular biology; Chemistry; Apoptosis; Amino acid; 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":[0.00005269945,0.0002359146,0.000148314,0.0003139048,0.0001846984,0.0002102827,0.00009108233,0.0002058904,0.001232895],"category_scores_gemma":[0.00008259736,0.0001051934,0.0002075777,0.0004015852,0.0001126419,0.0001081164,0.0001244161,0.0002146852,0.0002852706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002833998,"about_ca_system_score_gemma":0.0001357168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212926,"about_ca_topic_score_gemma":0.001033915,"domain_scores_codex":[0.9999396,0.000005194189,0.000003996509,0.00002189454,0.0000172684,0.00001196055],"domain_scores_gemma":[0.999941,0.000007025039,0.00002105654,0.000006107396,0.00001133435,0.00001349646],"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":[0.0001541171,0.000004844385,0.001544487,0.00002310036,0.00001067861,0.00006327764,0.00001043618,0.0000307205,0.9973579,0.0000201839,0.00004510138,0.0007350198],"study_design_scores_gemma":[0.000013958,0.0002246609,0.1516034,0.000005462924,0.00005913483,0.001341769,0.00006364123,0.0009995566,0.8409117,0.00007461518,0.004694154,0.000007956379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931559,0.002102796,0.001135195,0.00007346546,0.00001586895,0.00001155311,0.002461894,0.00008531625,0.0009579012],"genre_scores_gemma":[0.9912403,0.001025697,0.001137891,0.00005014917,0.000006874326,0.00002216253,0.004210461,0.00001697472,0.0022894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232895,"threshold_uncertainty_score":0.004124463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349850972209654,"score_gpt":0.2481930872996911,"score_spread":0.2046945775775946,"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."}}