{"id":"W2768643568","doi":"10.3390/metabo7040060","title":"Monitoring for Response to Antineoplastic Drugs: The Potential of a Metabolomic Approach","year":2017,"lang":"en","type":"review","venue":"Metabolites","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metabolome; Metabolomics; Biomarker; Medicine; Bioinformatics; Computational biology; Biology; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000597638,0.0003376001,0.001880315,0.0002472902,0.0001868753,0.00005526181,0.0003051253,0.0001241382,0.000008034999],"category_scores_gemma":[0.0007366417,0.0001822028,0.0007685287,0.00018287,0.00007161997,0.0000489669,0.00007306033,0.0001540956,0.00001571976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000508324,"about_ca_system_score_gemma":0.0006010373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002365742,"about_ca_topic_score_gemma":1.582234e-7,"domain_scores_codex":[0.998422,0.0001549325,0.0005244901,0.0003711655,0.0002414492,0.0002859327],"domain_scores_gemma":[0.998005,0.0004855728,0.0004170286,0.0008100871,0.0001695102,0.0001127412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004284641,0.0001651065,0.00001678604,0.007929049,0.002132551,0.000003969194,0.0005060176,0.000003802982,0.0001240909,0.000107045,0.0001462095,0.9884369],"study_design_scores_gemma":[0.0007685571,0.00008978062,0.0003968132,0.00286469,0.01691289,0.00003064373,0.0001320897,0.000006043463,0.00009414584,0.00001480689,0.9785303,0.0001592564],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003720464,0.9949067,0.000515644,0.0001189057,0.0006995381,0.002780067,0.0003392711,0.00002656342,0.0002412411],"genre_scores_gemma":[0.001115572,0.9864839,0.007157116,0.00001365146,0.0007900537,0.001265996,0.00008630683,0.0000707634,0.003016582],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9882777,"threshold_uncertainty_score":0.7430015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06776925511652118,"score_gpt":0.4244907328393876,"score_spread":0.3567214777228664,"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."}}