{"id":"W4310107990","doi":"10.1182/blood-2022-160274","title":"Mirages - REDS Explorer: An Online Portal for Longitudinal Metabolomics Data from the REDS-III RBC Omics Study","year":2022,"lang":"en","type":"article","venue":"Blood","topic":"Neonatal Health and Biochemistry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Metabolomics; Omics; Biology; Medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.003904208,0.002031561,0.002325966,0.004290281,0.0008806537,0.003959808,0.002408853,0.002007701,0.2079101],"category_scores_gemma":[0.006651514,0.000872849,0.001983876,0.004034357,0.0003778301,0.001904492,0.005276058,0.001722767,0.09314255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771038,"about_ca_system_score_gemma":0.002480875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00310574,"about_ca_topic_score_gemma":0.005671051,"domain_scores_codex":[0.9985223,0.0002560523,0.0001551969,0.0003792716,0.000484613,0.0002025888],"domain_scores_gemma":[0.9953826,0.001745418,0.0006650774,0.0008260384,0.0006642072,0.0007166336],"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":[0.001888566,0.0001364145,0.009633891,0.004267046,0.0006405491,0.0005868579,0.0003686956,0.0005444987,0.007535276,0.003313984,0.9342379,0.03684626],"study_design_scores_gemma":[0.001109425,0.0001929,0.03029955,0.001423975,0.000425841,0.0005600831,0.0003777203,0.002177657,0.005795344,0.01093209,0.9464458,0.0002597247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002380587,0.001130317,0.003757375,0.0006431548,0.0002837909,0.0001215824,0.9593208,0.02533416,0.007028145],"genre_scores_gemma":[0.02262329,0.002223513,0.03706912,0.001989774,0.0005200934,0.001188932,0.9133299,0.01256152,0.008493941],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2079101,"threshold_uncertainty_score":0.6955286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406751675527993,"score_gpt":0.3565609211574982,"score_spread":0.2158857536046989,"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."}}