{"id":"W4400994474","doi":"10.69645/cbqh6781","title":"Metabolomics resources","year":2018,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolomics; Computer science; Computational biology; Biology; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002415666,0.002919468,0.003483012,0.0120038,0.002125849,0.004280539,0.005270453,0.001524834,0.3448405],"category_scores_gemma":[0.00437755,0.001641489,0.001950344,0.01457226,0.0004526115,0.002405109,0.004018938,0.001983565,0.2814566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089691,"about_ca_system_score_gemma":0.002825863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050128,"about_ca_topic_score_gemma":0.01160693,"domain_scores_codex":[0.9986884,0.0001454276,0.0001161269,0.0003472976,0.0005126572,0.00019012],"domain_scores_gemma":[0.9983655,0.0003354385,0.0001162229,0.0003803888,0.0004947088,0.0003077129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001101582,0.0001702686,0.001712612,0.004173786,0.0003176498,0.0002374834,0.0001199723,0.0006888458,0.02889559,0.004621908,0.8806303,0.07733005],"study_design_scores_gemma":[0.0001663293,0.00005661379,0.004119672,0.0002729659,0.0001708027,0.0002333826,0.0000646546,0.0006191132,0.009198887,0.005112411,0.9799018,0.00008335961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0009757305,0.001550024,0.00913919,0.0002310043,0.0001148673,0.0003386287,0.9431775,0.01113497,0.03333817],"genre_scores_gemma":[0.002216813,0.00151287,0.01482915,0.0003015984,0.00007642238,0.000515662,0.9668199,0.003384598,0.01034295],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.3448405,"threshold_uncertainty_score":0.9345055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300050833852438,"score_gpt":0.266574908191029,"score_spread":0.2535743998525046,"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."}}