{"id":"W2104230701","doi":"10.3390/metabo3020373","title":"The Future of NMR Metabolomics in Cancer Therapy: Towards Personalizing Treatment and Developing Targeted Drugs?","year":2013,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Alberta Cancer Foundation","keywords":"Metabolomics; Precision medicine; Personalized medicine; Cancer; Medicine; Cancer therapy; Drug; Cancer treatment; Drug discovery; Drug development; Computational biology; Bioinformatics; Pharmacology; Biology; Internal medicine; Pathology","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":[0.003845275,0.0008704985,0.001682388,0.0009171452,0.0005293834,0.002476459,0.0008654737,0.003248431,0.00263907],"category_scores_gemma":[0.002134443,0.0003688484,0.0005575779,0.0008755369,0.002444406,0.005549138,0.001334621,0.002454883,0.001324518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385579,"about_ca_system_score_gemma":0.00173086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114509,"about_ca_topic_score_gemma":0.001525708,"domain_scores_codex":[0.9994092,0.0003165112,0.00002178043,0.00007783821,0.0001191202,0.00005550499],"domain_scores_gemma":[0.9986487,0.0006975617,0.0001471046,0.0000837794,0.000283507,0.0001393403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009061988,0.0003197355,0.004234935,0.004988374,0.000293519,0.0008012055,0.0004789756,0.005550685,0.1127668,0.08714189,0.03791962,0.744598],"study_design_scores_gemma":[0.0001241603,0.00148879,0.006425134,0.001954424,0.0003482009,0.002892236,0.001524815,0.02141458,0.08425943,0.276904,0.6022645,0.0003997454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009688605,0.8450955,0.06190713,0.07422882,0.001497572,0.00005633507,0.000156426,0.0003673098,0.007002346],"genre_scores_gemma":[0.09076839,0.818023,0.06842358,0.01338557,0.004045411,0.00008885136,0.0001474418,0.00008833194,0.005029445],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003845275,"threshold_uncertainty_score":0.02033597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135785972686215,"score_gpt":0.2641433638910651,"score_spread":0.2505647666224436,"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."}}