{"id":"W2810244557","doi":"10.1002/pmic.201700460","title":"Proteomic Profile of <i>Daphnia pulex</i> using Data‐Independent Acquisition Mass Spectrometry and Ion Mobility Separation","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Daphnia pulex; Proteome; Pulex; Biology; Proteomics; Mass spectrometry; Gammarus pulex; Label-free quantification; Computational biology; Chromatography; Chemistry; Biochemistry; Quantitative proteomics; Daphnia; Ecology; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004293823,0.0001914426,0.0002431336,0.00009957732,0.0001563608,0.00005560726,0.0003601274,0.0001816645,0.001162339],"category_scores_gemma":[0.0000399416,0.0001977084,0.000041437,0.0002918513,0.0001624177,0.0002752154,0.0002408534,0.0002123646,0.000009730951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707168,"about_ca_system_score_gemma":0.00007361587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008535228,"about_ca_topic_score_gemma":0.000004632102,"domain_scores_codex":[0.9984628,0.00002603948,0.0004226423,0.0005750878,0.0002537509,0.0002596555],"domain_scores_gemma":[0.9984443,0.00001700515,0.0003359565,0.0009883994,0.0001375998,0.00007679465],"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":[0.00006537505,0.0001187673,0.00386677,0.0001833455,0.00001826482,4.152642e-7,0.0000296985,0.000002006346,0.9939154,0.0014524,0.00005882942,0.0002887773],"study_design_scores_gemma":[0.0002789402,0.00008335627,0.001015034,0.00004658306,0.00003399205,0.00001821481,0.00002465351,0.01436532,0.9759123,0.007880224,0.0001393094,0.0002020331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381475,0.00003679071,0.05607377,0.00007103226,0.00002849884,0.001003105,0.0002835014,0.0001355453,0.004220266],"genre_scores_gemma":[0.8202289,0.00002716753,0.1790228,0.00001306455,0.0002536037,0.0001472573,0.0001969533,0.00002473179,0.00008559076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122949,"threshold_uncertainty_score":0.9997507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662822682920834,"score_gpt":0.3090543871036761,"score_spread":0.2824261602744678,"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."}}