{"id":"W3042203846","doi":"10.1039/d0an01280g","title":"NMR assignment of the<i>in vivo</i>daphnia magna metabolome","year":2020,"lang":"en","type":"article","venue":"The Analyst","topic":"Biochemical Acid Research Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Public Health","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Krembil Foundation; Canada Foundation for Innovation","keywords":"Daphnia magna; Daphnia; Metabolome; Organism; Biology; Daphnia pulex; Branchiopoda; Model organism; Listing (finance); Zoology; Ecology; Cladocera; Bioinformatics; Metabolomics; Toxicity; Genetics; Chemistry; Crustacean; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001817167,0.00008952325,0.0001500921,0.00001148188,0.00004428228,0.000006400288,0.0004346708,0.00004698052,0.00004003466],"category_scores_gemma":[0.0001232144,0.00004618796,0.0001290659,0.0002430966,0.0001917058,0.000001108865,0.0004111853,0.0001080362,0.000006549438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006361966,"about_ca_system_score_gemma":0.00002417529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003326857,"about_ca_topic_score_gemma":0.00002393427,"domain_scores_codex":[0.9991876,0.00009775221,0.0001629613,0.0001838576,0.0001956815,0.0001721755],"domain_scores_gemma":[0.9995289,0.00001563681,0.00005641175,0.0003155885,0.00003893262,0.00004455385],"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":[0.00004074346,0.00002458304,0.002037354,0.00001295022,0.00009824451,6.654485e-7,0.00005212921,0.00003904324,0.9908618,0.00005731732,0.006667816,0.0001073687],"study_design_scores_gemma":[0.0002010992,0.00007329085,0.002407504,0.000005529315,0.00003432558,6.345253e-7,0.0001025386,0.00006132627,0.9596347,0.00005957315,0.0373524,0.00006711452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977646,0.004132555,0.000214118,0.01333292,0.00003380888,0.0002637966,0.00004602777,0.000006461421,0.004324354],"genre_scores_gemma":[0.9983075,0.0002720279,0.00005484519,0.0007557928,0.0000905855,0.00001287441,0.000003535675,0.000006600099,0.0004961909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03122712,"threshold_uncertainty_score":0.188349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152886497830269,"score_gpt":0.2502246761769777,"score_spread":0.2349360263939508,"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."}}