{"id":"W2510661803","doi":"10.1007/978-1-4939-3801-8_20","title":"Metabolomics Analyses of Cancer Cells in Controlled Microenvironments","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Computational biology; Cancer; Biology; Bioinformatics; 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":[0.0001543548,0.0001998118,0.0002937773,0.0002429179,0.0002903161,0.000326574,0.0001744141,0.0002079928,0.0009223894],"category_scores_gemma":[0.0001668643,0.0001043587,0.0001978889,0.0004267824,0.0002378955,0.0001829389,0.0001953999,0.0003135399,0.0001657051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269494,"about_ca_system_score_gemma":0.0002335728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924811,"about_ca_topic_score_gemma":0.002643022,"domain_scores_codex":[0.999792,0.00003976692,0.00001302062,0.00005097251,0.00006392276,0.00004031761],"domain_scores_gemma":[0.9999088,0.00002754723,0.00001438868,0.00001335584,0.00002312744,0.00001278946],"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":[0.0001165192,0.00001200272,0.0002723151,0.000009144148,0.000004364728,0.00001954303,0.0000221144,0.00007950186,0.9989236,0.00003008691,0.00002293104,0.0004879064],"study_design_scores_gemma":[0.00001137726,0.0001465415,0.008975619,0.000001255736,0.00001598844,0.00005195277,0.00008111337,0.0008974353,0.9888632,0.00006050203,0.0008877702,0.000007099337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9929835,0.0008482116,0.004045225,0.00009739694,0.000025151,0.00003572923,0.0008609316,0.00004331491,0.001060575],"genre_scores_gemma":[0.9927851,0.0006710665,0.004046585,0.00006797993,0.00001685514,0.00008647654,0.0009473233,0.00002640181,0.001352432],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001924811,"threshold_uncertainty_score":0.003827214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411291040726296,"score_gpt":0.402165367761906,"score_spread":0.378052457354643,"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."}}