{"id":"W2041152534","doi":"10.1016/j.euprot.2015.01.003","title":"Multidimensional LC–MS/MS analysis of liver proteins in rat, mouse and human microsomal and S9 fractions","year":2015,"lang":"en","type":"article","venue":"EuPA Open Proteomics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Fractionation; Microsome; Peptide; Chemistry; Human liver; Detoxification (alternative medicine); Drug metabolism; Computational biology; Chromatography; Biochemistry; Metabolism; Biology; Enzyme; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002198083,0.0001399778,0.0003049177,0.0001755313,0.0001124371,0.00007234657,0.0002131649,0.0001168274,0.0005555776],"category_scores_gemma":[0.0000374878,0.0001399049,0.00004569651,0.0003959369,0.0001020411,0.0001644236,0.0003502897,0.0002208651,0.000002374626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007128019,"about_ca_system_score_gemma":0.00005464911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580859,"about_ca_topic_score_gemma":0.0008698251,"domain_scores_codex":[0.9990529,0.00002189185,0.0003056554,0.0003324383,0.0001268861,0.0001601871],"domain_scores_gemma":[0.9992556,0.00002625471,0.0001705441,0.0003551079,0.00008049256,0.0001120251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005220179,0.0003451717,0.03155134,0.0000380757,0.0001291559,0.000004187816,0.0002512798,0.00004283521,0.9593279,0.007832664,0.0002835057,0.0001416544],"study_design_scores_gemma":[0.001336503,0.0000881901,0.01249305,0.0000440265,0.0002149238,0.00001204655,0.0001746681,0.002841192,0.9757538,0.001450978,0.005213857,0.0003767814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943834,0.00005456879,0.0003266715,0.0001520532,0.000003591185,0.0007340348,0.00009685392,0.00003085739,0.004217948],"genre_scores_gemma":[0.9396729,0.00002781848,0.05819966,0.00002448946,0.00002044215,0.0003485773,0.00007732947,0.00001774682,0.001610976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05787299,"threshold_uncertainty_score":0.6083185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781135174479672,"score_gpt":0.3023979035924578,"score_spread":0.2745865518476611,"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."}}