{"id":"W1484003115","doi":"10.1111/j.1600-6143.2005.01119.x","title":"Metabolomics: The Principles and Potential Applications to Transplantation","year":2005,"lang":"en","type":"review","venue":"American Journal of Transplantation","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Prairie","keywords":"Metabolomics; Metabolite profiling; Metabolite; Medicine; Organ transplantation; Transplantation; Computational biology; Metabolome; Proteomics; Bioinformatics; Physiology; Biology; Internal medicine; Biochemistry","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":[0.002540386,0.001425519,0.002347522,0.003158701,0.0007409772,0.003462765,0.001356842,0.003482575,0.004028502],"category_scores_gemma":[0.002149409,0.000614563,0.001526961,0.002574957,0.003884431,0.004233834,0.002704278,0.006038171,0.002712468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182829,"about_ca_system_score_gemma":0.001393508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258285,"about_ca_topic_score_gemma":0.0009098124,"domain_scores_codex":[0.998865,0.0003538804,0.00008308171,0.0002222595,0.0003828684,0.00009294368],"domain_scores_gemma":[0.9986733,0.0007036655,0.0001160761,0.00008029517,0.0003045051,0.0001221678],"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":[0.0002535188,0.0001626814,0.001113864,0.01007847,0.0002352653,0.001048927,0.0005218723,0.002734648,0.01664021,0.1287049,0.05740001,0.7811056],"study_design_scores_gemma":[0.00002149454,0.0002672065,0.001300138,0.00229462,0.00005850088,0.001822288,0.0002587008,0.001523508,0.004193998,0.1142601,0.8738739,0.0001257085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006267712,0.9672393,0.01315195,0.01071014,0.001908275,0.00002502847,0.00009646762,0.0001465805,0.006095532],"genre_scores_gemma":[0.01017618,0.9693239,0.008736353,0.004367214,0.004414961,0.0000679868,0.00009084598,0.00004417796,0.002778273],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004028502,"threshold_uncertainty_score":0.01347667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930023902019469,"score_gpt":0.3070248243879484,"score_spread":0.2877245853677537,"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."}}