{"id":"W6922523418","doi":"10.13140/rg.2.2.11872.23048","title":"Human Metabolic Databases, Vancouver ISSX 2004 Poster","year":2004,"lang":"en","type":"article","venue":"","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Disease; Human health; Pandemic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092125,0.001460653,0.000930032,0.003010442,0.001125082,0.003147466,0.0009948006,0.0008320656,0.1522474],"category_scores_gemma":[0.001978837,0.0007058417,0.0005235136,0.006152946,0.0002263482,0.0008368866,0.0009256498,0.0007553772,0.09265731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102219,"about_ca_system_score_gemma":0.00301675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05881618,"about_ca_topic_score_gemma":0.114741,"domain_scores_codex":[0.9997374,0.00004326929,0.00002078906,0.00007186444,0.00009468771,0.00003187761],"domain_scores_gemma":[0.9993023,0.0001184211,0.00002246589,0.0001297784,0.0002799839,0.0001470277],"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":[0.000387805,0.00003660378,0.0006725317,0.0002594702,0.00003202779,0.00008606923,0.00002251131,0.0003309225,0.001162883,0.0007491697,0.9363682,0.05989182],"study_design_scores_gemma":[0.0002428148,0.00006725083,0.01065307,0.0002269672,0.00008925744,0.0003515875,0.0001351815,0.002921477,0.004912597,0.00346634,0.976895,0.00003847425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005478047,0.005239894,0.01019617,0.001978177,0.0004089412,0.000174755,0.8930238,0.01983015,0.06366997],"genre_scores_gemma":[0.01057671,0.003695584,0.01540015,0.0002938425,0.00009455274,0.0001130213,0.8771327,0.00175032,0.09094305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1522474,"threshold_uncertainty_score":0.5093182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436838556770704,"score_gpt":0.2689482331047696,"score_spread":0.2545798475370625,"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."}}