{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006678597,0.000223312,0.000129288,0.0004073643,0.0001976021,0.0003485021,0.00009549283,0.0001330134,0.0004082116],"category_scores_gemma":[0.00006800181,0.00007109536,0.0001574222,0.0003325729,0.0001023177,0.0001626505,0.0001517415,0.0001196264,0.0002101554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491584,"about_ca_system_score_gemma":0.0001152879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337046,"about_ca_topic_score_gemma":0.001686885,"domain_scores_codex":[0.9999499,0.000003669379,0.000005302937,0.00002065356,0.00001136653,0.000009193832],"domain_scores_gemma":[0.9999608,0.000004573508,0.00001326803,0.000002741393,0.00000862758,0.00001003441],"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":[0.00007995382,0.000007860694,0.003055964,0.00004206333,0.00001056691,0.00009623233,0.00003427028,0.00002836804,0.9946584,0.00002241607,0.00005470331,0.001909272],"study_design_scores_gemma":[0.000008732278,0.0003126366,0.3734694,0.00001945192,0.0001002855,0.001813851,0.0003307747,0.00114643,0.615994,0.00004963698,0.006731616,0.000023091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938838,0.0008508976,0.001789734,0.00004712771,0.00001201657,0.00001874979,0.001915577,0.00005710932,0.001425007],"genre_scores_gemma":[0.9828202,0.001690962,0.006806224,0.0001184508,0.00001371319,0.00002837159,0.005696654,0.00003147957,0.0027939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001337046,"threshold_uncertainty_score":0.002658546,"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."}}