{"id":"W3000224423","doi":"10.1007/978-1-0716-0239-3_10","title":"Metabolomic Data Exploration and Analysis with the Human Metabolome Database","year":2020,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Metabolome; Metabolomics; Computer science; Database; Bioinformatics; Biology","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":[0.0008062361,0.001158039,0.0009976351,0.00413951,0.000471134,0.00135298,0.0008645004,0.0004865324,0.01184275],"category_scores_gemma":[0.003056199,0.0003239494,0.001363372,0.004280368,0.0001694521,0.0005843568,0.001673124,0.0006989534,0.004325171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320011,"about_ca_system_score_gemma":0.001648978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509877,"about_ca_topic_score_gemma":0.003655367,"domain_scores_codex":[0.9995864,0.00005978532,0.00007105983,0.0001488563,0.00009337164,0.00004047041],"domain_scores_gemma":[0.9993775,0.0001898539,0.00009396343,0.0001654499,0.0001068197,0.00006630726],"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":[0.01469968,0.001085129,0.07096105,0.01126243,0.004538506,0.00599638,0.0008808835,0.01177358,0.1433465,0.01029061,0.2417051,0.48346],"study_design_scores_gemma":[0.001560321,0.001300264,0.118445,0.0009798061,0.002822074,0.006445156,0.0008163329,0.05141713,0.1204675,0.02176428,0.673604,0.0003780055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.06145903,0.002578218,0.05054754,0.0005244543,0.0001000736,0.000691659,0.8615562,0.01699686,0.005545968],"genre_scores_gemma":[0.1150172,0.002369176,0.1193225,0.0003500106,0.00006434182,0.001507433,0.7582948,0.001007242,0.002067355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01184275,"threshold_uncertainty_score":0.03961796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271488750821079,"score_gpt":0.3916256816357588,"score_spread":0.328910794127548,"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."}}