{"id":"W4281845305","doi":"10.1007/s00442-022-05198-5","title":"Proteome changes in an aquatic invertebrate consumer in response to different nutritional stressors","year":2022,"lang":"en","type":"article","venue":"Oecologia","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Daphnia pulex; Metabolome; Proteome; Nutrient; Daphnia; Vitellogenin; Superoxide dismutase; Zooplankton; Food science; Biochemistry; Ecology; Enzyme; Metabolite","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":[0.0000641306,0.0001556582,0.0001719766,0.0001980395,0.0003325497,0.0002804275,0.00009219025,0.0002458882,0.001418878],"category_scores_gemma":[0.0001053129,0.0001257359,0.0002384587,0.0001945267,0.0001687097,0.0001967275,0.0002133566,0.0003025857,0.0002098503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084468,"about_ca_system_score_gemma":0.0001598346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166085,"about_ca_topic_score_gemma":0.004022811,"domain_scores_codex":[0.9999658,0.000002912091,0.000001935814,0.00001139042,0.000007830065,0.00001015311],"domain_scores_gemma":[0.9999453,0.00000754805,0.00001112044,0.000003270265,0.00001346481,0.00001937798],"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":[0.001161024,0.00004953873,0.009896698,0.00004700854,0.00003108355,0.0002057285,0.0001093017,0.00006654668,0.987035,0.00004376904,0.0001053245,0.001249074],"study_design_scores_gemma":[0.00001718481,0.0004469565,0.8989682,0.00000861993,0.00004821264,0.0005069445,0.0005870928,0.001061675,0.09695187,0.0001054534,0.001281015,0.00001671653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998941,0.00008890756,0.00009185707,0.00002509904,0.000006267768,0.000003512474,0.0004240214,0.000003279924,0.0004160561],"genre_scores_gemma":[0.9959893,0.0001857072,0.0004082077,0.00005211227,0.000007166082,0.00001549289,0.001281387,0.000007167326,0.002053619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002166085,"threshold_uncertainty_score":0.004746675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264224571033771,"score_gpt":0.2462613534805738,"score_spread":0.2198388963771967,"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."}}