{"id":"W2181400689","doi":"","title":"VaLID: Visualization and Phospholipid Identification a glycerophospholipid m/z-based prediction database","year":2013,"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":"University of Ottawa","funders":"","keywords":"Glycerophospholipid; Visualization; Identification (biology); Phospholipid; Computer science; Database; Data mining; Chemistry; Biology; Biochemistry","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":[0.0008258436,0.002115162,0.0009227435,0.00300199,0.0008118071,0.002379401,0.002265542,0.001323365,0.04350768],"category_scores_gemma":[0.002649121,0.0008015343,0.0009656625,0.002128402,0.0002457645,0.002047553,0.001956357,0.001405767,0.01646698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005696014,"about_ca_system_score_gemma":0.001189253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695733,"about_ca_topic_score_gemma":0.0030194,"domain_scores_codex":[0.9996243,0.00003486744,0.00004536859,0.0001053629,0.0001419933,0.00004805075],"domain_scores_gemma":[0.9992502,0.000253941,0.00009405787,0.0001769689,0.0001522737,0.0000724689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003634099,0.0004497404,0.006955354,0.003387867,0.0003767688,0.001585242,0.0005973991,0.006112122,0.07532722,0.009047321,0.7121019,0.180425],"study_design_scores_gemma":[0.001180602,0.0003367819,0.01173778,0.0006832818,0.0003172644,0.001887219,0.000477109,0.1437661,0.1685712,0.02295144,0.6477305,0.0003608156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.02457674,0.001034033,0.1856148,0.001253479,0.0005252495,0.000344247,0.3107866,0.4641033,0.01176165],"genre_scores_gemma":[0.147268,0.002363015,0.3095643,0.001033865,0.0001983671,0.001239097,0.4776627,0.04522639,0.01544421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04350768,"threshold_uncertainty_score":0.1455476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009504670139596699,"score_gpt":0.2486676569624541,"score_spread":0.2391629868228574,"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."}}