{"id":"W7066601939","doi":"","title":"Human Metabolome Database: completing the human parts list","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolome; Human physiology; Selection (genetic algorithm); Human genome; Human disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001459177,0.001739546,0.00258175,0.00594103,0.000983626,0.002488205,0.002155341,0.002134214,0.586632],"category_scores_gemma":[0.01047419,0.001242385,0.001180337,0.005530875,0.0003028723,0.002103853,0.002288885,0.001251395,0.4974088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470368,"about_ca_system_score_gemma":0.002712486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767859,"about_ca_topic_score_gemma":0.00291459,"domain_scores_codex":[0.9992693,0.0001261694,0.0001526546,0.0001401077,0.0002282982,0.00008342393],"domain_scores_gemma":[0.9941346,0.001374617,0.0003879257,0.001106314,0.002196693,0.0007998794],"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":[0.0003368032,0.00004379768,0.000515804,0.0009453192,0.00002860736,0.00009340592,0.0000183541,0.00007180015,0.002190272,0.0003157595,0.965695,0.02974511],"study_design_scores_gemma":[0.000498558,0.00008388699,0.006732894,0.000313897,0.00009903665,0.0004038343,0.00004660624,0.0006202791,0.005857669,0.002407917,0.9828499,0.00008543398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0008349674,0.0005834688,0.003165154,0.001305923,0.0004261801,0.0002669911,0.9723962,0.009250999,0.01177011],"genre_scores_gemma":[0.003369883,0.0008056465,0.009849482,0.0005837284,0.0003503265,0.0005115148,0.9613695,0.002421868,0.02073819],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.586632,"threshold_uncertainty_score":0.5896193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513278471413434,"score_gpt":0.297863150509065,"score_spread":0.2727303657949307,"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."}}